Srh_csk - Copy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [],
   "source": [
    "Matches=pd.read_csv(\"matches.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-05</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-06</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season       city        date                team1  \\\n",
       "0   1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "1   2    2017       Pune  2017-04-06       Mumbai Indians   \n",
       "\n",
       "                         team2                  toss_winner toss_decision  \\\n",
       "0  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1       Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "\n",
       "   result  dl_applied                  winner  win_by_runs  win_by_wickets  \\\n",
       "0  normal           0     Sunrisers Hyderabad           35               0   \n",
       "1  normal           0  Rising Pune Supergiant            0               7   \n",
       "\n",
       "  player_of_match                                      venue         umpire1  \\\n",
       "0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal     AY Dandekar   \n",
       "1       SPD Smith    Maharashtra Cricket Association Stadium  A Nand Kishore   \n",
       "\n",
       "    umpire2 umpire3  \n",
       "0  NJ Llong     NaN  \n",
       "1    S Ravi     NaN  "
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Matches.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many rows and columns are there?# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 756 entries, 0 to 755\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   id               756 non-null    int64 \n",
      " 1   season           756 non-null    int64 \n",
      " 2   city             749 non-null    object\n",
      " 3   date             756 non-null    object\n",
      " 4   team1            756 non-null    object\n",
      " 5   team2            756 non-null    object\n",
      " 6   toss_winner      756 non-null    object\n",
      " 7   toss_decision    756 non-null    object\n",
      " 8   result           756 non-null    object\n",
      " 9   dl_applied       756 non-null    int64 \n",
      " 10  winner           752 non-null    object\n",
      " 11  win_by_runs      756 non-null    int64 \n",
      " 12  win_by_wickets   756 non-null    int64 \n",
      " 13  player_of_match  752 non-null    object\n",
      " 14  venue            756 non-null    object\n",
      " 15  umpire1          754 non-null    object\n",
      " 16  umpire2          754 non-null    object\n",
      " 17  umpire3          119 non-null    object\n",
      "dtypes: int64(5), object(13)\n",
      "memory usage: 106.4+ KB\n"
     ]
    }
   ],
   "source": [
    "Matches.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'season', 'city', 'date', 'team1', 'team2', 'toss_winner',\n",
       "       'toss_decision', 'result', 'dl_applied', 'winner', 'win_by_runs',\n",
       "       'win_by_wickets', 'player_of_match', 'venue', 'umpire1', 'umpire2',\n",
       "       'umpire3'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Matches.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No of Rows are: 756\n",
      "No of columns are: 18\n"
     ]
    }
   ],
   "source": [
    "print(\"No of Rows are:\",len(Matches))\n",
    "print(\"No of columns are:\",len(Matches.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# # 756 rows are there that means we have details 756 matches that takes place between 2008-2019 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No of matches that takes place between 2008-2019 were: 756\n"
     ]
    }
   ],
   "source": [
    "print(\"No of matches that takes place between 2008-2019 were:\",len(Matches))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# # It looks like between 2011-2013.Total no matches exceeds 70.That because in these periods(2011-2013)there were 10 teams(kochi tuskers kerala and pune warriors india were the new additions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c46fce4ac8>"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_wise_analysing=Matches.groupby('season')\n",
    "year_wise_analysing.count()\n",
    "year_wise_analysing['id'].count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "2008    58\n",
       "2009    57\n",
       "2010    60\n",
       "2011    73\n",
       "2012    74\n",
       "2013    76\n",
       "2014    60\n",
       "2015    59\n",
       "2016    60\n",
       "2017    59\n",
       "2018    60\n",
       "2019    60\n",
       "Name: id, dtype: int64"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_wise_analysing['id'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   0\n",
       "season               0\n",
       "city                 7\n",
       "date                 0\n",
       "team1                0\n",
       "team2                0\n",
       "toss_winner          0\n",
       "toss_decision        0\n",
       "result               0\n",
       "dl_applied           0\n",
       "winner               4\n",
       "win_by_runs          0\n",
       "win_by_wickets       0\n",
       "player_of_match      4\n",
       "venue                0\n",
       "umpire1              2\n",
       "umpire2              2\n",
       "umpire3            637\n",
       "dtype: int64"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Matches.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# from the below plot we can find huge missing values are there in umpire 3 columns .we can remove the column it will not create a impact on predicting the matches.# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c46fd4d0c8>"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(Matches.isnull(),yticklabels=False,cbar=False,cmap='PiYG')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-05</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-06</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season       city        date                team1  \\\n",
       "0   1    2017  Hyderabad  2017-04-05  Sunrisers Hyderabad   \n",
       "1   2    2017       Pune  2017-04-06       Mumbai Indians   \n",
       "\n",
       "                         team2                  toss_winner toss_decision  \\\n",
       "0  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1       Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "\n",
       "   result  dl_applied                  winner  win_by_runs  win_by_wickets  \\\n",
       "0  normal           0     Sunrisers Hyderabad           35               0   \n",
       "1  normal           0  Rising Pune Supergiant            0               7   \n",
       "\n",
       "  player_of_match                                      venue         umpire1  \\\n",
       "0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal     AY Dandekar   \n",
       "1       SPD Smith    Maharashtra Cricket Association Stadium  A Nand Kishore   \n",
       "\n",
       "    umpire2 umpire3  \n",
       "0  NJ Llong     NaN  \n",
       "1    S Ravi     NaN  "
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Matches.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Removed the columns containing more missing values and have less impact on the predicting matches\n",
    "# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "Matchess=Matches.drop(['umpire3','city'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>2017-04-05</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>2017-04-06</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season        date                team1                        team2  \\\n",
       "0   1    2017  2017-04-05  Sunrisers Hyderabad  Royal Challengers Bangalore   \n",
       "1   2    2017  2017-04-06       Mumbai Indians       Rising Pune Supergiant   \n",
       "\n",
       "                   toss_winner toss_decision  result  dl_applied  \\\n",
       "0  Royal Challengers Bangalore         field  normal           0   \n",
       "1       Rising Pune Supergiant         field  normal           0   \n",
       "\n",
       "                   winner  win_by_runs  win_by_wickets player_of_match  \\\n",
       "0     Sunrisers Hyderabad           35               0    Yuvraj Singh   \n",
       "1  Rising Pune Supergiant            0               7       SPD Smith   \n",
       "\n",
       "                                       venue         umpire1   umpire2  \n",
       "0  Rajiv Gandhi International Stadium, Uppal     AY Dandekar  NJ Llong  \n",
       "1    Maharashtra Cricket Association Stadium  A Nand Kishore    S Ravi  "
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Matchess.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# No missing values are there(well some small amount are still there but will not have impact on Today's match)# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c46fdbd548>"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(Matchess.isnull(),yticklabels=False,cbar=False,cmap='PiYG')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Today's match is between Srh and csk.so we only want information between the matches that take place between them# "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>435</td>\n",
       "      <td>2013</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2013-05-08</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>S Das</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>507</td>\n",
       "      <td>2014</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>2014-05-22</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>521</td>\n",
       "      <td>2015</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2015-04-11</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>RK Illingworth</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>7913</td>\n",
       "      <td>2018</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>22/04/18</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Vineet Kulkarni</td>\n",
       "      <td>Nigel Llong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>11324</td>\n",
       "      <td>2019</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>17/04/19</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Rajiv Gandhi Intl. Cricket Stadium</td>\n",
       "      <td>Ian Gould</td>\n",
       "      <td>Ulhas Gandhe</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  season       city        date                team1  \\\n",
       "434    435    2013  Hyderabad  2013-05-08  Chennai Super Kings   \n",
       "506    507    2014     Ranchi  2014-05-22  Chennai Super Kings   \n",
       "520    521    2015    Chennai  2015-04-11  Chennai Super Kings   \n",
       "655   7913    2018  Hyderabad    22/04/18  Chennai Super Kings   \n",
       "728  11324    2019  Hyderabad    17/04/19  Chennai Super Kings   \n",
       "\n",
       "                   team2          toss_winner toss_decision  result  \\\n",
       "434  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "506  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "520  Sunrisers Hyderabad  Chennai Super Kings           bat  normal   \n",
       "655  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "728  Sunrisers Hyderabad  Chennai Super Kings           bat  normal   \n",
       "\n",
       "     dl_applied               winner  win_by_runs  win_by_wickets  \\\n",
       "434           0  Chennai Super Kings           77               0   \n",
       "506           0  Sunrisers Hyderabad            0               6   \n",
       "520           0  Chennai Super Kings           45               0   \n",
       "655           0  Chennai Super Kings            4               0   \n",
       "728           0  Sunrisers Hyderabad            0               6   \n",
       "\n",
       "    player_of_match                                      venue  \\\n",
       "434        SK Raina  Rajiv Gandhi International Stadium, Uppal   \n",
       "506       DA Warner         JSCA International Stadium Complex   \n",
       "520     BB McCullum            MA Chidambaram Stadium, Chepauk   \n",
       "655       AT Rayudu  Rajiv Gandhi International Stadium, Uppal   \n",
       "728       DA Warner         Rajiv Gandhi Intl. Cricket Stadium   \n",
       "\n",
       "            umpire1          umpire2        umpire3  \n",
       "434           S Das         NJ Llong            NaN  \n",
       "506    BNJ Oxenford    C Shamshuddin            NaN  \n",
       "520  RK Illingworth      VA Kulkarni            NaN  \n",
       "655  Anil Chaudhary  Vineet Kulkarni    Nigel Llong  \n",
       "728       Ian Gould     Ulhas Gandhe  C Shamshuddin  "
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk1=Matches.loc[(Matches['team1']=='Chennai Super Kings')&(Matches['team2'] =='Sunrisers Hyderabad')]\n",
    "Srh_Csk1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 5 entries, 434 to 728\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   id               5 non-null      int64 \n",
      " 1   season           5 non-null      int64 \n",
      " 2   city             5 non-null      object\n",
      " 3   date             5 non-null      object\n",
      " 4   team1            5 non-null      object\n",
      " 5   team2            5 non-null      object\n",
      " 6   toss_winner      5 non-null      object\n",
      " 7   toss_decision    5 non-null      object\n",
      " 8   result           5 non-null      object\n",
      " 9   dl_applied       5 non-null      int64 \n",
      " 10  winner           5 non-null      object\n",
      " 11  win_by_runs      5 non-null      int64 \n",
      " 12  win_by_wickets   5 non-null      int64 \n",
      " 13  player_of_match  5 non-null      object\n",
      " 14  venue            5 non-null      object\n",
      " 15  umpire1          5 non-null      object\n",
      " 16  umpire2          5 non-null      object\n",
      " 17  umpire3          2 non-null      object\n",
      "dtypes: int64(5), object(13)\n",
      "memory usage: 760.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "Srh_Csk1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>414</td>\n",
       "      <td>2013</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2013-04-25</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>S Das</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>474</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sharjah</td>\n",
       "      <td>2014-04-27</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>551</td>\n",
       "      <td>2015</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2015-05-02</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>K Srinivasan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>7939</td>\n",
       "      <td>2018</td>\n",
       "      <td>Pune</td>\n",
       "      <td>13/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>Yeshwant Barde</td>\n",
       "      <td>Anil Dandekar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>7950</td>\n",
       "      <td>2018</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>22/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>S Ravi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>7953</td>\n",
       "      <td>2018</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>27/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>Nitin Menon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>11332</td>\n",
       "      <td>2019</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>23/04/19</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>M. A. Chidambaram Stadium</td>\n",
       "      <td>Nigel Llong</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Vineet Kulkarni</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  season       city        date                team1  \\\n",
       "413    414    2013    Chennai  2013-04-25  Sunrisers Hyderabad   \n",
       "473    474    2014    Sharjah  2014-04-27  Sunrisers Hyderabad   \n",
       "550    551    2015  Hyderabad  2015-05-02  Sunrisers Hyderabad   \n",
       "681   7939    2018       Pune    13/05/18  Sunrisers Hyderabad   \n",
       "692   7950    2018     Mumbai    22/05/18  Sunrisers Hyderabad   \n",
       "695   7953    2018     Mumbai    27/05/18  Sunrisers Hyderabad   \n",
       "736  11332    2019    Chennai    23/04/19  Sunrisers Hyderabad   \n",
       "\n",
       "                   team2          toss_winner toss_decision  result  \\\n",
       "413  Chennai Super Kings  Sunrisers Hyderabad           bat  normal   \n",
       "473  Chennai Super Kings  Sunrisers Hyderabad           bat  normal   \n",
       "550  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "681  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "692  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "695  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "736  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "\n",
       "     dl_applied               winner  win_by_runs  win_by_wickets  \\\n",
       "413           0  Chennai Super Kings            0               5   \n",
       "473           0  Chennai Super Kings            0               5   \n",
       "550           0  Sunrisers Hyderabad           22               0   \n",
       "681           0  Chennai Super Kings            0               8   \n",
       "692           0  Chennai Super Kings            0               2   \n",
       "695           0  Chennai Super Kings            0               8   \n",
       "736           0  Chennai Super Kings            0               6   \n",
       "\n",
       "    player_of_match                                      venue  \\\n",
       "413        MS Dhoni            MA Chidambaram Stadium, Chepauk   \n",
       "473        DR Smith                    Sharjah Cricket Stadium   \n",
       "550       DA Warner  Rajiv Gandhi International Stadium, Uppal   \n",
       "681       AT Rayudu    Maharashtra Cricket Association Stadium   \n",
       "692    F du Plessis                           Wankhede Stadium   \n",
       "695       SR Watson                           Wankhede Stadium   \n",
       "736       SR Watson                  M. A. Chidambaram Stadium   \n",
       "\n",
       "            umpire1         umpire2          umpire3  \n",
       "413       Aleem Dar           S Das              NaN  \n",
       "473    AK Chaudhary     VA Kulkarni              NaN  \n",
       "550    AK Chaudhary    K Srinivasan              NaN  \n",
       "681  Marais Erasmus  Yeshwant Barde    Anil Dandekar  \n",
       "692  Marais Erasmus   C Shamshuddin           S Ravi  \n",
       "695  Marais Erasmus          S Ravi      Nitin Menon  \n",
       "736     Nigel Llong  Anil Chaudhary  Vineet Kulkarni  "
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk2=Matches.loc[(Matches['team2']=='Chennai Super Kings')&(Matches['team1'] =='Sunrisers Hyderabad')]\n",
    "Srh_Csk2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7 entries, 413 to 736\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   id               7 non-null      int64 \n",
      " 1   season           7 non-null      int64 \n",
      " 2   city             7 non-null      object\n",
      " 3   date             7 non-null      object\n",
      " 4   team1            7 non-null      object\n",
      " 5   team2            7 non-null      object\n",
      " 6   toss_winner      7 non-null      object\n",
      " 7   toss_decision    7 non-null      object\n",
      " 8   result           7 non-null      object\n",
      " 9   dl_applied       7 non-null      int64 \n",
      " 10  winner           7 non-null      object\n",
      " 11  win_by_runs      7 non-null      int64 \n",
      " 12  win_by_wickets   7 non-null      int64 \n",
      " 13  player_of_match  7 non-null      object\n",
      " 14  venue            7 non-null      object\n",
      " 15  umpire1          7 non-null      object\n",
      " 16  umpire2          7 non-null      object\n",
      " 17  umpire3          4 non-null      object\n",
      "dtypes: int64(5), object(13)\n",
      "memory usage: 1.0+ KB\n"
     ]
    }
   ],
   "source": [
    "Srh_Csk2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>435</td>\n",
       "      <td>2013</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2013-05-08</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>S Das</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>507</td>\n",
       "      <td>2014</td>\n",
       "      <td>Ranchi</td>\n",
       "      <td>2014-05-22</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>JSCA International Stadium Complex</td>\n",
       "      <td>BNJ Oxenford</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>521</td>\n",
       "      <td>2015</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2015-04-11</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>RK Illingworth</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>7913</td>\n",
       "      <td>2018</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>22/04/18</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Vineet Kulkarni</td>\n",
       "      <td>Nigel Llong</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>11324</td>\n",
       "      <td>2019</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>17/04/19</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Rajiv Gandhi Intl. Cricket Stadium</td>\n",
       "      <td>Ian Gould</td>\n",
       "      <td>Ulhas Gandhe</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>414</td>\n",
       "      <td>2013</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>2013-04-25</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>MA Chidambaram Stadium, Chepauk</td>\n",
       "      <td>Aleem Dar</td>\n",
       "      <td>S Das</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>474</td>\n",
       "      <td>2014</td>\n",
       "      <td>Sharjah</td>\n",
       "      <td>2014-04-27</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>Sharjah Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>VA Kulkarni</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>551</td>\n",
       "      <td>2015</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2015-05-02</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>K Srinivasan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>7939</td>\n",
       "      <td>2018</td>\n",
       "      <td>Pune</td>\n",
       "      <td>13/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>Yeshwant Barde</td>\n",
       "      <td>Anil Dandekar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>7950</td>\n",
       "      <td>2018</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>22/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>S Ravi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>7953</td>\n",
       "      <td>2018</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>27/05/18</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Wankhede Stadium</td>\n",
       "      <td>Marais Erasmus</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>Nitin Menon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>11332</td>\n",
       "      <td>2019</td>\n",
       "      <td>Chennai</td>\n",
       "      <td>23/04/19</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>M. A. Chidambaram Stadium</td>\n",
       "      <td>Nigel Llong</td>\n",
       "      <td>Anil Chaudhary</td>\n",
       "      <td>Vineet Kulkarni</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  season       city        date                team1  \\\n",
       "434    435    2013  Hyderabad  2013-05-08  Chennai Super Kings   \n",
       "506    507    2014     Ranchi  2014-05-22  Chennai Super Kings   \n",
       "520    521    2015    Chennai  2015-04-11  Chennai Super Kings   \n",
       "655   7913    2018  Hyderabad    22/04/18  Chennai Super Kings   \n",
       "728  11324    2019  Hyderabad    17/04/19  Chennai Super Kings   \n",
       "413    414    2013    Chennai  2013-04-25  Sunrisers Hyderabad   \n",
       "473    474    2014    Sharjah  2014-04-27  Sunrisers Hyderabad   \n",
       "550    551    2015  Hyderabad  2015-05-02  Sunrisers Hyderabad   \n",
       "681   7939    2018       Pune    13/05/18  Sunrisers Hyderabad   \n",
       "692   7950    2018     Mumbai    22/05/18  Sunrisers Hyderabad   \n",
       "695   7953    2018     Mumbai    27/05/18  Sunrisers Hyderabad   \n",
       "736  11332    2019    Chennai    23/04/19  Sunrisers Hyderabad   \n",
       "\n",
       "                   team2          toss_winner toss_decision  result  \\\n",
       "434  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "506  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "520  Sunrisers Hyderabad  Chennai Super Kings           bat  normal   \n",
       "655  Sunrisers Hyderabad  Sunrisers Hyderabad         field  normal   \n",
       "728  Sunrisers Hyderabad  Chennai Super Kings           bat  normal   \n",
       "413  Chennai Super Kings  Sunrisers Hyderabad           bat  normal   \n",
       "473  Chennai Super Kings  Sunrisers Hyderabad           bat  normal   \n",
       "550  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "681  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "692  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "695  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "736  Chennai Super Kings  Chennai Super Kings         field  normal   \n",
       "\n",
       "     dl_applied               winner  win_by_runs  win_by_wickets  \\\n",
       "434           0  Chennai Super Kings           77               0   \n",
       "506           0  Sunrisers Hyderabad            0               6   \n",
       "520           0  Chennai Super Kings           45               0   \n",
       "655           0  Chennai Super Kings            4               0   \n",
       "728           0  Sunrisers Hyderabad            0               6   \n",
       "413           0  Chennai Super Kings            0               5   \n",
       "473           0  Chennai Super Kings            0               5   \n",
       "550           0  Sunrisers Hyderabad           22               0   \n",
       "681           0  Chennai Super Kings            0               8   \n",
       "692           0  Chennai Super Kings            0               2   \n",
       "695           0  Chennai Super Kings            0               8   \n",
       "736           0  Chennai Super Kings            0               6   \n",
       "\n",
       "    player_of_match                                      venue  \\\n",
       "434        SK Raina  Rajiv Gandhi International Stadium, Uppal   \n",
       "506       DA Warner         JSCA International Stadium Complex   \n",
       "520     BB McCullum            MA Chidambaram Stadium, Chepauk   \n",
       "655       AT Rayudu  Rajiv Gandhi International Stadium, Uppal   \n",
       "728       DA Warner         Rajiv Gandhi Intl. Cricket Stadium   \n",
       "413        MS Dhoni            MA Chidambaram Stadium, Chepauk   \n",
       "473        DR Smith                    Sharjah Cricket Stadium   \n",
       "550       DA Warner  Rajiv Gandhi International Stadium, Uppal   \n",
       "681       AT Rayudu    Maharashtra Cricket Association Stadium   \n",
       "692    F du Plessis                           Wankhede Stadium   \n",
       "695       SR Watson                           Wankhede Stadium   \n",
       "736       SR Watson                  M. A. Chidambaram Stadium   \n",
       "\n",
       "            umpire1          umpire2          umpire3  \n",
       "434           S Das         NJ Llong              NaN  \n",
       "506    BNJ Oxenford    C Shamshuddin              NaN  \n",
       "520  RK Illingworth      VA Kulkarni              NaN  \n",
       "655  Anil Chaudhary  Vineet Kulkarni      Nigel Llong  \n",
       "728       Ian Gould     Ulhas Gandhe    C Shamshuddin  \n",
       "413       Aleem Dar            S Das              NaN  \n",
       "473    AK Chaudhary      VA Kulkarni              NaN  \n",
       "550    AK Chaudhary     K Srinivasan              NaN  \n",
       "681  Marais Erasmus   Yeshwant Barde    Anil Dandekar  \n",
       "692  Marais Erasmus    C Shamshuddin           S Ravi  \n",
       "695  Marais Erasmus           S Ravi      Nitin Menon  \n",
       "736     Nigel Llong   Anil Chaudhary  Vineet Kulkarni  "
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SRH_CSK=Srh_Csk1.append(Srh_Csk2)\n",
    "SRH_CSK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Complete details of matches that takes placed between SRH and CSK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 12 entries, 434 to 736\n",
      "Data columns (total 18 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   id               12 non-null     int64 \n",
      " 1   season           12 non-null     int64 \n",
      " 2   city             12 non-null     object\n",
      " 3   date             12 non-null     object\n",
      " 4   team1            12 non-null     object\n",
      " 5   team2            12 non-null     object\n",
      " 6   toss_winner      12 non-null     object\n",
      " 7   toss_decision    12 non-null     object\n",
      " 8   result           12 non-null     object\n",
      " 9   dl_applied       12 non-null     int64 \n",
      " 10  winner           12 non-null     object\n",
      " 11  win_by_runs      12 non-null     int64 \n",
      " 12  win_by_wickets   12 non-null     int64 \n",
      " 13  player_of_match  12 non-null     object\n",
      " 14  venue            12 non-null     object\n",
      " 15  umpire1          12 non-null     object\n",
      " 16  umpire2          12 non-null     object\n",
      " 17  umpire3          6 non-null      object\n",
      "dtypes: int64(5), object(13)\n",
      "memory usage: 1.8+ KB\n"
     ]
    }
   ],
   "source": [
    "SRH_CSK.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No of matches that takes place between SRH and CSK: 12\n"
     ]
    }
   ],
   "source": [
    "print(\"No of matches that takes place between SRH and CSK:\",len(SRH_CSK))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# # Below plot gives the details of the match that takes place between csk and srh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1c46fe2bc88>"
      ]
     },
     "execution_count": 242,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data=SRH_CSK)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# It looks like  7 Times CSK won the Toss and 5 Times SRH won the Toss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c470b9de08>"
      ]
     },
     "execution_count": 243,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "SRH_CSK['toss_winner'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  CSK went on to win the match 6 times when they decided to  field first and 3 times on batting first .so total it is (CSK=won-9,loss-3)whereas for SRH they won the match 2 times by fielding first and won 1 time by batting first.so it is (SRH=won-3,loss=9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c470f68548>"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize':(15,5)})\n",
    "sns.countplot(x='toss_decision',hue=\"winner\",data=SRH_CSK)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# From the below plot it clearly shows that csk won all the matches when they won the toss(9 times csk won the toss and went onto win match)and same goes for SRH(They win 3 games against csk only when they had won the toss)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# So Toss plays a huge role in deciding the winner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c470fc2588>"
      ]
     },
     "execution_count": 245,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set({'figure.figsize':(15,5)})\n",
    "sns.countplot(x='toss_winner',hue=\"winner\",data=SRH_CSK)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No of times toss won by both teams:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Chennai Super Kings    7\n",
       "Sunrisers Hyderabad    5\n",
       "Name: toss_winner, dtype: int64"
      ]
     },
     "execution_count": 246,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"No of times toss won by both teams:\")\n",
    "SRH_CSK['toss_winner'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now let gets into the Deliveries Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [],
   "source": [
    "Deliveries=pd.read_csv(\"deliveries.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   match_id  inning         batting_team                 bowling_team  over  \\\n",
       "0         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "2         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "3         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "4         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "\n",
       "   ball    batsman non_striker    bowler  is_super_over  ...  bye_runs  \\\n",
       "0     1  DA Warner    S Dhawan  TS Mills              0  ...         0   \n",
       "1     2  DA Warner    S Dhawan  TS Mills              0  ...         0   \n",
       "2     3  DA Warner    S Dhawan  TS Mills              0  ...         0   \n",
       "3     4  DA Warner    S Dhawan  TS Mills              0  ...         0   \n",
       "4     5  DA Warner    S Dhawan  TS Mills              0  ...         0   \n",
       "\n",
       "   legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "0            0            0             0             0           0   \n",
       "1            0            0             0             0           0   \n",
       "2            0            0             0             4           0   \n",
       "3            0            0             0             0           0   \n",
       "4            0            0             0             0           2   \n",
       "\n",
       "   total_runs  player_dismissed dismissal_kind fielder  \n",
       "0           0               NaN            NaN     NaN  \n",
       "1           0               NaN            NaN     NaN  \n",
       "2           4               NaN            NaN     NaN  \n",
       "3           0               NaN            NaN     NaN  \n",
       "4           2               NaN            NaN     NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 248,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Deliveries.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 179078 entries, 0 to 179077\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count   Dtype \n",
      "---  ------            --------------   ----- \n",
      " 0   match_id          179078 non-null  int64 \n",
      " 1   inning            179078 non-null  int64 \n",
      " 2   batting_team      179078 non-null  object\n",
      " 3   bowling_team      179078 non-null  object\n",
      " 4   over              179078 non-null  int64 \n",
      " 5   ball              179078 non-null  int64 \n",
      " 6   batsman           179078 non-null  object\n",
      " 7   non_striker       179078 non-null  object\n",
      " 8   bowler            179078 non-null  object\n",
      " 9   is_super_over     179078 non-null  int64 \n",
      " 10  wide_runs         179078 non-null  int64 \n",
      " 11  bye_runs          179078 non-null  int64 \n",
      " 12  legbye_runs       179078 non-null  int64 \n",
      " 13  noball_runs       179078 non-null  int64 \n",
      " 14  penalty_runs      179078 non-null  int64 \n",
      " 15  batsman_runs      179078 non-null  int64 \n",
      " 16  extra_runs        179078 non-null  int64 \n",
      " 17  total_runs        179078 non-null  int64 \n",
      " 18  player_dismissed  8834 non-null    object\n",
      " 19  dismissal_kind    8834 non-null    object\n",
      " 20  fielder           6448 non-null    object\n",
      "dtypes: int64(13), object(8)\n",
      "memory usage: 28.7+ MB\n"
     ]
    }
   ],
   "source": [
    "Deliveries.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Filtering the match details that only takes place between Chennai Super Kings and Sunrises Hyderabad "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [],
   "source": [
    "Srh_Csk1=Deliveries.loc[(Deliveries['batting_team' ] =='Chennai Super Kings' ) & (Deliveries['bowling_team'] == 'Sunrisers Hyderabad')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98083</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98084</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98085</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98086</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98087</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174689</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174690</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174691</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174692</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>caught</td>\n",
       "      <td>V Shankar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174693</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1456 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "98083        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98084        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98085        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98086        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98087        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174689     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174690     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174691     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174692     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174693     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "\n",
       "        ball     batsman non_striker     bowler  is_super_over  ...  bye_runs  \\\n",
       "98083      1  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98084      2  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98085      3     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98086      4     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98087      5  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "...      ...         ...         ...        ...            ...  ...       ...   \n",
       "174689     1   AT Rayudu   KM Jadhav   S Sharma              0  ...         0   \n",
       "174690     2   KM Jadhav   AT Rayudu   S Sharma              0  ...         0   \n",
       "174691     3   KM Jadhav   AT Rayudu   S Sharma              0  ...         0   \n",
       "174692     4   AT Rayudu   KM Jadhav   S Sharma              0  ...         0   \n",
       "174693     5   KM Jadhav    DJ Bravo   S Sharma              0  ...         0   \n",
       "\n",
       "        legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "98083             0            0             0             0           0   \n",
       "98084             0            0             0             1           0   \n",
       "98085             0            0             0             0           0   \n",
       "98086             0            0             0             1           0   \n",
       "98087             0            0             0             1           0   \n",
       "...             ...          ...           ...           ...         ...   \n",
       "174689            0            0             0             1           0   \n",
       "174690            0            0             0             6           0   \n",
       "174691            0            0             0             1           0   \n",
       "174692            0            0             0             0           0   \n",
       "174693            0            0             0             1           0   \n",
       "\n",
       "        total_runs  player_dismissed dismissal_kind    fielder  \n",
       "98083            0               NaN            NaN        NaN  \n",
       "98084            1               NaN            NaN        NaN  \n",
       "98085            0               NaN            NaN        NaN  \n",
       "98086            1               NaN            NaN        NaN  \n",
       "98087            1               NaN            NaN        NaN  \n",
       "...            ...               ...            ...        ...  \n",
       "174689           1               NaN            NaN        NaN  \n",
       "174690           6               NaN            NaN        NaN  \n",
       "174691           1               NaN            NaN        NaN  \n",
       "174692           0         AT Rayudu         caught  V Shankar  \n",
       "174693           1               NaN            NaN        NaN  \n",
       "\n",
       "[1456 rows x 21 columns]"
      ]
     },
     "execution_count": 251,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1456 entries, 98083 to 174693\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   match_id          1456 non-null   int64 \n",
      " 1   inning            1456 non-null   int64 \n",
      " 2   batting_team      1456 non-null   object\n",
      " 3   bowling_team      1456 non-null   object\n",
      " 4   over              1456 non-null   int64 \n",
      " 5   ball              1456 non-null   int64 \n",
      " 6   batsman           1456 non-null   object\n",
      " 7   non_striker       1456 non-null   object\n",
      " 8   bowler            1456 non-null   object\n",
      " 9   is_super_over     1456 non-null   int64 \n",
      " 10  wide_runs         1456 non-null   int64 \n",
      " 11  bye_runs          1456 non-null   int64 \n",
      " 12  legbye_runs       1456 non-null   int64 \n",
      " 13  noball_runs       1456 non-null   int64 \n",
      " 14  penalty_runs      1456 non-null   int64 \n",
      " 15  batsman_runs      1456 non-null   int64 \n",
      " 16  extra_runs        1456 non-null   int64 \n",
      " 17  total_runs        1456 non-null   int64 \n",
      " 18  player_dismissed  50 non-null     object\n",
      " 19  dismissal_kind    50 non-null     object\n",
      " 20  fielder           37 non-null     object\n",
      "dtypes: int64(13), object(8)\n",
      "memory usage: 250.2+ KB\n"
     ]
    }
   ],
   "source": [
    "Srh_Csk1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "Srh_Csk2=Deliveries.loc[(Deliveries['bowling_team' ] =='Chennai Super Kings' ) & (Deliveries['batting_team'] == 'Sunrisers Hyderabad')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>97960</th>\n",
       "      <td>414</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Q de Kock</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97961</th>\n",
       "      <td>414</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Q de Kock</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97962</th>\n",
       "      <td>414</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Q de Kock</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Q de Kock</td>\n",
       "      <td>caught</td>\n",
       "      <td>M Vijay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97963</th>\n",
       "      <td>414</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>GH Vihari</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97964</th>\n",
       "      <td>414</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>GH Vihari</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174568</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174569</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174570</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174571</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174572</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1474 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "97960        414       1  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "97961        414       1  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "97962        414       1  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "97963        414       1  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "97964        414       1  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174568     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174569     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174570     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174571     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174572     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "\n",
       "        ball    batsman non_striker     bowler  is_super_over  ...  bye_runs  \\\n",
       "97960      1  Q de Kock    S Dhawan  MM Sharma              0  ...         0   \n",
       "97961      2  Q de Kock    S Dhawan  MM Sharma              0  ...         0   \n",
       "97962      3  Q de Kock    S Dhawan  MM Sharma              0  ...         0   \n",
       "97963      4  GH Vihari    S Dhawan  MM Sharma              0  ...         0   \n",
       "97964      5  GH Vihari    S Dhawan  MM Sharma              0  ...         0   \n",
       "...      ...        ...         ...        ...            ...  ...       ...   \n",
       "174568     2  YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174569     3  YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174570     4  YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174571     5  YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174572     6  MK Pandey   YK Pathan   DJ Bravo              0  ...         0   \n",
       "\n",
       "        legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "97960             0            0             0             0           0   \n",
       "97961             0            0             0             4           0   \n",
       "97962             0            0             0             0           0   \n",
       "97963             0            0             0             0           0   \n",
       "97964             0            0             0             1           0   \n",
       "...             ...          ...           ...           ...         ...   \n",
       "174568            0            0             0             0           0   \n",
       "174569            0            0             0             2           0   \n",
       "174570            0            0             0             2           0   \n",
       "174571            0            0             0             1           0   \n",
       "174572            0            0             0             2           0   \n",
       "\n",
       "        total_runs  player_dismissed dismissal_kind  fielder  \n",
       "97960            0               NaN            NaN      NaN  \n",
       "97961            4               NaN            NaN      NaN  \n",
       "97962            0         Q de Kock         caught  M Vijay  \n",
       "97963            0               NaN            NaN      NaN  \n",
       "97964            1               NaN            NaN      NaN  \n",
       "...            ...               ...            ...      ...  \n",
       "174568           0               NaN            NaN      NaN  \n",
       "174569           2               NaN            NaN      NaN  \n",
       "174570           2               NaN            NaN      NaN  \n",
       "174571           1               NaN            NaN      NaN  \n",
       "174572           2               NaN            NaN      NaN  \n",
       "\n",
       "[1474 rows x 21 columns]"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1474 entries, 97960 to 174572\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   match_id          1474 non-null   int64 \n",
      " 1   inning            1474 non-null   int64 \n",
      " 2   batting_team      1474 non-null   object\n",
      " 3   bowling_team      1474 non-null   object\n",
      " 4   over              1474 non-null   int64 \n",
      " 5   ball              1474 non-null   int64 \n",
      " 6   batsman           1474 non-null   object\n",
      " 7   non_striker       1474 non-null   object\n",
      " 8   bowler            1474 non-null   object\n",
      " 9   is_super_over     1474 non-null   int64 \n",
      " 10  wide_runs         1474 non-null   int64 \n",
      " 11  bye_runs          1474 non-null   int64 \n",
      " 12  legbye_runs       1474 non-null   int64 \n",
      " 13  noball_runs       1474 non-null   int64 \n",
      " 14  penalty_runs      1474 non-null   int64 \n",
      " 15  batsman_runs      1474 non-null   int64 \n",
      " 16  extra_runs        1474 non-null   int64 \n",
      " 17  total_runs        1474 non-null   int64 \n",
      " 18  player_dismissed  66 non-null     object\n",
      " 19  dismissal_kind    66 non-null     object\n",
      " 20  fielder           56 non-null     object\n",
      "dtypes: int64(13), object(8)\n",
      "memory usage: 253.3+ KB\n"
     ]
    }
   ],
   "source": [
    "Srh_Csk2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [],
   "source": [
    "Srh_Csk=Srh_Csk1.append(Srh_Csk2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98083</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98084</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98085</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98086</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98087</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174568</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174569</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174570</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174571</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174572</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2930 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "98083        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98084        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98085        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98086        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98087        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174568     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174569     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174570     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174571     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174572     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "\n",
       "        ball     batsman non_striker     bowler  is_super_over  ...  bye_runs  \\\n",
       "98083      1  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98084      2  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98085      3     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98086      4     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98087      5  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "...      ...         ...         ...        ...            ...  ...       ...   \n",
       "174568     2   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174569     3   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174570     4   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174571     5   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174572     6   MK Pandey   YK Pathan   DJ Bravo              0  ...         0   \n",
       "\n",
       "        legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "98083             0            0             0             0           0   \n",
       "98084             0            0             0             1           0   \n",
       "98085             0            0             0             0           0   \n",
       "98086             0            0             0             1           0   \n",
       "98087             0            0             0             1           0   \n",
       "...             ...          ...           ...           ...         ...   \n",
       "174568            0            0             0             0           0   \n",
       "174569            0            0             0             2           0   \n",
       "174570            0            0             0             2           0   \n",
       "174571            0            0             0             1           0   \n",
       "174572            0            0             0             2           0   \n",
       "\n",
       "        total_runs  player_dismissed dismissal_kind fielder  \n",
       "98083            0               NaN            NaN     NaN  \n",
       "98084            1               NaN            NaN     NaN  \n",
       "98085            0               NaN            NaN     NaN  \n",
       "98086            1               NaN            NaN     NaN  \n",
       "98087            1               NaN            NaN     NaN  \n",
       "...            ...               ...            ...     ...  \n",
       "174568           0               NaN            NaN     NaN  \n",
       "174569           2               NaN            NaN     NaN  \n",
       "174570           2               NaN            NaN     NaN  \n",
       "174571           1               NaN            NaN     NaN  \n",
       "174572           2               NaN            NaN     NaN  \n",
       "\n",
       "[2930 rows x 21 columns]"
      ]
     },
     "execution_count": 257,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 2930 entries, 98083 to 174572\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Non-Null Count  Dtype \n",
      "---  ------            --------------  ----- \n",
      " 0   match_id          2930 non-null   int64 \n",
      " 1   inning            2930 non-null   int64 \n",
      " 2   batting_team      2930 non-null   object\n",
      " 3   bowling_team      2930 non-null   object\n",
      " 4   over              2930 non-null   int64 \n",
      " 5   ball              2930 non-null   int64 \n",
      " 6   batsman           2930 non-null   object\n",
      " 7   non_striker       2930 non-null   object\n",
      " 8   bowler            2930 non-null   object\n",
      " 9   is_super_over     2930 non-null   int64 \n",
      " 10  wide_runs         2930 non-null   int64 \n",
      " 11  bye_runs          2930 non-null   int64 \n",
      " 12  legbye_runs       2930 non-null   int64 \n",
      " 13  noball_runs       2930 non-null   int64 \n",
      " 14  penalty_runs      2930 non-null   int64 \n",
      " 15  batsman_runs      2930 non-null   int64 \n",
      " 16  extra_runs        2930 non-null   int64 \n",
      " 17  total_runs        2930 non-null   int64 \n",
      " 18  player_dismissed  116 non-null    object\n",
      " 19  dismissal_kind    116 non-null    object\n",
      " 20  fielder           93 non-null     object\n",
      "dtypes: int64(13), object(8)\n",
      "memory usage: 503.6+ KB\n"
     ]
    }
   ],
   "source": [
    "Srh_Csk.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# # From the correlation plot we can clearly see that extra runs,wide runs ,bye runs are correlated and apart from that batsman runs column and total_runs columns are highly correlated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c472df4088>"
      ]
     },
     "execution_count": 306,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(Srh_Csk.corr(),annot=True,yticklabels=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many wides will be bowled in today's match?Let's see what we can predict it by using the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [],
   "source": [
    "Wides_bowled=Srh_Csk[\"wide_runs\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2844\n",
       "1      85\n",
       "2       1\n",
       "Name: wide_runs, dtype: int64"
      ]
     },
     "execution_count": 260,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Wides_bowled.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.029692832764505118"
      ]
     },
     "execution_count": 261,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Wides_bowled.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Wides_bowled.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 263,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Wides_bowled.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Wides_bowled.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# considering the wides bowled on innings wise .we can see that it's verly less runs were scored on wides when these two sides faced off each other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1c471727b08>"
      ]
     },
     "execution_count": 265,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='inning',y='wide_runs',data=Srh_Csk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many runs will warner score?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {},
   "outputs": [],
   "source": [
    "Warner_scores=Srh_Csk.loc[(Srh_Csk['batsman']=='DA Warner')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 267,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>112196</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112197</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>lbw</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120256</th>\n",
       "      <td>507</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120257</th>\n",
       "      <td>507</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120258</th>\n",
       "      <td>507</td>\n",
       "      <td>2</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>MM Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174527</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174529</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174531</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>Harbhajan Singh</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174532</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>Harbhajan Singh</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174533</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>Harbhajan Singh</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>stumped</td>\n",
       "      <td>MS Dhoni</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>192 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "112196       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "112197       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "120256       507       2  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "120257       507       2  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "120258       507       2  Sunrisers Hyderabad  Chennai Super Kings     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174527     11332       1  Sunrisers Hyderabad  Chennai Super Kings    13   \n",
       "174529     11332       1  Sunrisers Hyderabad  Chennai Super Kings    13   \n",
       "174531     11332       1  Sunrisers Hyderabad  Chennai Super Kings    14   \n",
       "174532     11332       1  Sunrisers Hyderabad  Chennai Super Kings    14   \n",
       "174533     11332       1  Sunrisers Hyderabad  Chennai Super Kings    14   \n",
       "\n",
       "        ball    batsman non_striker           bowler  is_super_over  ...  \\\n",
       "112196     3  DA Warner    AJ Finch    BW Hilfenhaus              0  ...   \n",
       "112197     4  DA Warner    AJ Finch    BW Hilfenhaus              0  ...   \n",
       "120256     1  DA Warner    S Dhawan        MM Sharma              0  ...   \n",
       "120257     2  DA Warner    S Dhawan        MM Sharma              0  ...   \n",
       "120258     3  DA Warner    S Dhawan        MM Sharma              0  ...   \n",
       "...      ...        ...         ...              ...            ...  ...   \n",
       "174527     3  DA Warner   MK Pandey        RA Jadeja              0  ...   \n",
       "174529     5  DA Warner   MK Pandey        RA Jadeja              0  ...   \n",
       "174531     1  DA Warner   MK Pandey  Harbhajan Singh              0  ...   \n",
       "174532     2  DA Warner   MK Pandey  Harbhajan Singh              0  ...   \n",
       "174533     3  DA Warner   MK Pandey  Harbhajan Singh              0  ...   \n",
       "\n",
       "        bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "112196         0            0            0             0             0   \n",
       "112197         0            0            0             0             0   \n",
       "120256         0            0            0             0             0   \n",
       "120257         0            0            0             0             0   \n",
       "120258         0            0            0             0             4   \n",
       "...          ...          ...          ...           ...           ...   \n",
       "174527         0            0            0             0             1   \n",
       "174529         0            0            0             0             1   \n",
       "174531         0            0            0             0             2   \n",
       "174532         0            0            0             0             2   \n",
       "174533         0            0            0             0             0   \n",
       "\n",
       "        extra_runs  total_runs  player_dismissed dismissal_kind   fielder  \n",
       "112196           0           0               NaN            NaN       NaN  \n",
       "112197           0           0         DA Warner            lbw       NaN  \n",
       "120256           0           0               NaN            NaN       NaN  \n",
       "120257           0           0               NaN            NaN       NaN  \n",
       "120258           0           4               NaN            NaN       NaN  \n",
       "...            ...         ...               ...            ...       ...  \n",
       "174527           0           1               NaN            NaN       NaN  \n",
       "174529           0           1               NaN            NaN       NaN  \n",
       "174531           0           2               NaN            NaN       NaN  \n",
       "174532           0           2               NaN            NaN       NaN  \n",
       "174533           0           0         DA Warner        stumped  MS Dhoni  \n",
       "\n",
       "[192 rows x 21 columns]"
      ]
     },
     "execution_count": 267,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>112196</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112197</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>lbw</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "112196       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "112197       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "\n",
       "        ball    batsman non_striker         bowler  is_super_over  ...  \\\n",
       "112196     3  DA Warner    AJ Finch  BW Hilfenhaus              0  ...   \n",
       "112197     4  DA Warner    AJ Finch  BW Hilfenhaus              0  ...   \n",
       "\n",
       "        bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "112196         0            0            0             0             0   \n",
       "112197         0            0            0             0             0   \n",
       "\n",
       "        extra_runs  total_runs  player_dismissed dismissal_kind fielder  \n",
       "112196           0           0               NaN            NaN     NaN  \n",
       "112197           0           0         DA Warner            lbw     NaN  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 268,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scores.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>112196</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112197</th>\n",
       "      <td>474</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>AJ Finch</td>\n",
       "      <td>BW Hilfenhaus</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>lbw</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "112196       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "112197       474       1  Sunrisers Hyderabad  Chennai Super Kings     3   \n",
       "\n",
       "        ball    batsman non_striker         bowler  is_super_over  ...  \\\n",
       "112196     3  DA Warner    AJ Finch  BW Hilfenhaus              0  ...   \n",
       "112197     4  DA Warner    AJ Finch  BW Hilfenhaus              0  ...   \n",
       "\n",
       "        bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "112196         0            0            0             0             0   \n",
       "112197         0            0            0             0             0   \n",
       "\n",
       "        extra_runs  total_runs  player_dismissed dismissal_kind fielder  \n",
       "112196           0           0               NaN            NaN     NaN  \n",
       "112197           0           0         DA Warner            lbw     NaN  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 271,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scores.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Warner scored a total of 314 runs against csk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 272,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "314"
      ]
     },
     "execution_count": 272,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scores['batsman_runs'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    115\n",
       "1     77\n",
       "Name: inning, dtype: int64"
      ]
     },
     "execution_count": 273,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scores['inning'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [],
   "source": [
    "Warner_scored_314runs_from_x_matches=Warner_scores['match_id'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# By using the match_id we can calculate his number of matches he played against csk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11332    47\n",
       "507      46\n",
       "521      43\n",
       "551      28\n",
       "11324    26\n",
       "474       2\n",
       "Name: match_id, dtype: int64"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_scored_314runs_from_x_matches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Warner scored 314 runs from his 6 matches against csk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "outputs": [],
   "source": [
    "Warner_Average_score=314/6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52.333333333333336"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Warner_Average_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Warner is good against  bowlers(jadeja,chahar,Thakur) currently playing in csk.He went to hit Fours(4s)and Sixes(6)in jadeja's over(look at the dot(outlier's) in jadeja's area(x-axis)and a maximum of 4's were also scored against chahar and Thakur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c4723a3648>"
      ]
     },
     "execution_count": 288,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1296x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,5))\n",
    "sns.boxplot(x='bowler',y='batsman_runs',data=Warner_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Warner ball by ball runs against csk bowlers over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c4752161c8>"
      ]
     },
     "execution_count": 325,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.swarmplot(x='bowler',y='batsman_runs',data=Warner_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many wickets will csk lose in this match?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {},
   "outputs": [],
   "source": [
    "Csk_wickets=Srh_Csk1.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98083</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98084</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98085</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98086</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98087</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174689</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174690</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174691</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174692</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>caught</td>\n",
       "      <td>V Shankar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174693</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1456 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "98083        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98084        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98085        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98086        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98087        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174689     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174690     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174691     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174692     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "174693     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "\n",
       "        ball     batsman non_striker     bowler  is_super_over  ...  bye_runs  \\\n",
       "98083      1  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98084      2  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98085      3     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98086      4     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98087      5  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "...      ...         ...         ...        ...            ...  ...       ...   \n",
       "174689     1   AT Rayudu   KM Jadhav   S Sharma              0  ...         0   \n",
       "174690     2   KM Jadhav   AT Rayudu   S Sharma              0  ...         0   \n",
       "174691     3   KM Jadhav   AT Rayudu   S Sharma              0  ...         0   \n",
       "174692     4   AT Rayudu   KM Jadhav   S Sharma              0  ...         0   \n",
       "174693     5   KM Jadhav    DJ Bravo   S Sharma              0  ...         0   \n",
       "\n",
       "        legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "98083             0            0             0             0           0   \n",
       "98084             0            0             0             1           0   \n",
       "98085             0            0             0             0           0   \n",
       "98086             0            0             0             1           0   \n",
       "98087             0            0             0             1           0   \n",
       "...             ...          ...           ...           ...         ...   \n",
       "174689            0            0             0             1           0   \n",
       "174690            0            0             0             6           0   \n",
       "174691            0            0             0             1           0   \n",
       "174692            0            0             0             0           0   \n",
       "174693            0            0             0             1           0   \n",
       "\n",
       "        total_runs  player_dismissed dismissal_kind    fielder  \n",
       "98083            0               NaN            NaN        NaN  \n",
       "98084            1               NaN            NaN        NaN  \n",
       "98085            0               NaN            NaN        NaN  \n",
       "98086            1               NaN            NaN        NaN  \n",
       "98087            1               NaN            NaN        NaN  \n",
       "...            ...               ...            ...        ...  \n",
       "174689           1               NaN            NaN        NaN  \n",
       "174690           6               NaN            NaN        NaN  \n",
       "174691           1               NaN            NaN        NaN  \n",
       "174692           0         AT Rayudu         caught  V Shankar  \n",
       "174693           1               NaN            NaN        NaN  \n",
       "\n",
       "[1456 rows x 21 columns]"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Csk_wickets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Removed  null values to get the wickets details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [],
   "source": [
    "Csk_wickets.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98130</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>stumped</td>\n",
       "      <td>Q de Kock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98141</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>caught</td>\n",
       "      <td>Q de Kock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98165</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>A Mishra</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>DJG Sammy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98190</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>caught</td>\n",
       "      <td>A Ashish Reddy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98199</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>DW Steyn</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>caught</td>\n",
       "      <td>A Mishra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103008</th>\n",
       "      <td>435</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>NLTC Perera</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>caught</td>\n",
       "      <td>PA Patel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103087</th>\n",
       "      <td>435</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>NLTC Perera</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>caught</td>\n",
       "      <td>KV Sharma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112388</th>\n",
       "      <td>474</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>I Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>Y Venugopal Rao</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112397</th>\n",
       "      <td>474</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>caught</td>\n",
       "      <td>DA Warner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112399</th>\n",
       "      <td>474</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>caught</td>\n",
       "      <td>KL Rahul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120155</th>\n",
       "      <td>507</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>KV Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>run out</td>\n",
       "      <td>KV Sharma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120186</th>\n",
       "      <td>507</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>DJ Hussey</td>\n",
       "      <td>KV Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>AJ Finch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123504</th>\n",
       "      <td>521</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>RS Bopara</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>run out</td>\n",
       "      <td>TA Boult</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123537</th>\n",
       "      <td>521</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>RS Bopara</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>run out</td>\n",
       "      <td>KL Rahul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123573</th>\n",
       "      <td>521</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>TA Boult</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>caught</td>\n",
       "      <td>DA Warner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123574</th>\n",
       "      <td>521</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>BB McCullum</td>\n",
       "      <td>TA Boult</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>run out</td>\n",
       "      <td>TA Boult</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130586</th>\n",
       "      <td>551</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DR Smith</td>\n",
       "      <td>caught</td>\n",
       "      <td>GH Vihari</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130602</th>\n",
       "      <td>551</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>MC Henriques</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>EJG Morgan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130633</th>\n",
       "      <td>551</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>MS Dhoni</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>A Ashish Reddy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>run out</td>\n",
       "      <td>A Ashish Reddy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154929</th>\n",
       "      <td>7913</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>caught</td>\n",
       "      <td>DJ Hooda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154952</th>\n",
       "      <td>7913</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>stumped</td>\n",
       "      <td>WP Saha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155011</th>\n",
       "      <td>7913</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>S Kaul</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>run out</td>\n",
       "      <td>KS Williamson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161397</th>\n",
       "      <td>7939</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Shakib Al Hasan</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>run out</td>\n",
       "      <td>KS Williamson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161401</th>\n",
       "      <td>7939</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>KS Williamson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163903</th>\n",
       "      <td>7950</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>caught</td>\n",
       "      <td>SP Goswami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163968</th>\n",
       "      <td>7950</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>caught</td>\n",
       "      <td>S Dhawan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163975</th>\n",
       "      <td>7950</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>RA Jadeja</td>\n",
       "      <td>caught</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163990</th>\n",
       "      <td>7950</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>DL Chahar</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>DL Chahar</td>\n",
       "      <td>caught</td>\n",
       "      <td>CR Brathwaite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164007</th>\n",
       "      <td>7950</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>Harbhajan Singh</td>\n",
       "      <td>CR Brathwaite</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Harbhajan Singh</td>\n",
       "      <td>run out</td>\n",
       "      <td>Rashid Khan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164659</th>\n",
       "      <td>7953</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>caught</td>\n",
       "      <td>Sandeep Sharma</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164718</th>\n",
       "      <td>7953</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>CR Brathwaite</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>caught</td>\n",
       "      <td>SP Goswami</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172592</th>\n",
       "      <td>11324</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>V Shankar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>caught</td>\n",
       "      <td>J Bairstow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172619</th>\n",
       "      <td>11324</td>\n",
       "      <td>1</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>SW Billings</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>K Ahmed</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SW Billings</td>\n",
       "      <td>caught</td>\n",
       "      <td>V Shankar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174587</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F du Plessis</td>\n",
       "      <td>run out</td>\n",
       "      <td>DJ Hooda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174633</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>Rashid Khan</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SK Raina</td>\n",
       "      <td>stumped</td>\n",
       "      <td>J Bairstow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174677</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>B Kumar</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SR Watson</td>\n",
       "      <td>caught</td>\n",
       "      <td>J Bairstow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174692</th>\n",
       "      <td>11332</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>S Sharma</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AT Rayudu</td>\n",
       "      <td>caught</td>\n",
       "      <td>V Shankar</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>37 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "98130        414       2  Chennai Super Kings  Sunrisers Hyderabad     8   \n",
       "98141        414       2  Chennai Super Kings  Sunrisers Hyderabad    10   \n",
       "98165        414       2  Chennai Super Kings  Sunrisers Hyderabad    14   \n",
       "98190        414       2  Chennai Super Kings  Sunrisers Hyderabad    18   \n",
       "98199        414       2  Chennai Super Kings  Sunrisers Hyderabad    19   \n",
       "103008       435       1  Chennai Super Kings  Sunrisers Hyderabad     6   \n",
       "103087       435       1  Chennai Super Kings  Sunrisers Hyderabad    18   \n",
       "112388       474       2  Chennai Super Kings  Sunrisers Hyderabad    14   \n",
       "112397       474       2  Chennai Super Kings  Sunrisers Hyderabad    16   \n",
       "112399       474       2  Chennai Super Kings  Sunrisers Hyderabad    16   \n",
       "120155       507       1  Chennai Super Kings  Sunrisers Hyderabad     4   \n",
       "120186       507       1  Chennai Super Kings  Sunrisers Hyderabad     9   \n",
       "123504       521       1  Chennai Super Kings  Sunrisers Hyderabad     9   \n",
       "123537       521       1  Chennai Super Kings  Sunrisers Hyderabad    14   \n",
       "123573       521       1  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "123574       521       1  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "130586       551       2  Chennai Super Kings  Sunrisers Hyderabad     6   \n",
       "130602       551       2  Chennai Super Kings  Sunrisers Hyderabad     8   \n",
       "130633       551       2  Chennai Super Kings  Sunrisers Hyderabad    13   \n",
       "154929      7913       1  Chennai Super Kings  Sunrisers Hyderabad     4   \n",
       "154952      7913       1  Chennai Super Kings  Sunrisers Hyderabad     8   \n",
       "155011      7913       1  Chennai Super Kings  Sunrisers Hyderabad    17   \n",
       "161397      7939       2  Chennai Super Kings  Sunrisers Hyderabad    14   \n",
       "161401      7939       2  Chennai Super Kings  Sunrisers Hyderabad    15   \n",
       "163903      7950       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "163968      7950       2  Chennai Super Kings  Sunrisers Hyderabad    12   \n",
       "163975      7950       2  Chennai Super Kings  Sunrisers Hyderabad    13   \n",
       "163990      7950       2  Chennai Super Kings  Sunrisers Hyderabad    15   \n",
       "164007      7950       2  Chennai Super Kings  Sunrisers Hyderabad    18   \n",
       "164659      7953       2  Chennai Super Kings  Sunrisers Hyderabad     4   \n",
       "164718      7953       2  Chennai Super Kings  Sunrisers Hyderabad    14   \n",
       "172592     11324       1  Chennai Super Kings  Sunrisers Hyderabad    11   \n",
       "172619     11324       1  Chennai Super Kings  Sunrisers Hyderabad    15   \n",
       "174587     11332       2  Chennai Super Kings  Sunrisers Hyderabad     3   \n",
       "174633     11332       2  Chennai Super Kings  Sunrisers Hyderabad    10   \n",
       "174677     11332       2  Chennai Super Kings  Sunrisers Hyderabad    18   \n",
       "174692     11332       2  Chennai Super Kings  Sunrisers Hyderabad    20   \n",
       "\n",
       "        ball       batsman      non_striker           bowler  is_super_over  \\\n",
       "98130      3       M Vijay       MEK Hussey         A Mishra              0   \n",
       "98141      2    MEK Hussey         SK Raina         A Mishra              0   \n",
       "98165      2      SK Raina         MS Dhoni         A Mishra              0   \n",
       "98190      2      DJ Bravo         MS Dhoni         I Sharma              0   \n",
       "98199      5     RA Jadeja         MS Dhoni         DW Steyn              0   \n",
       "103008     2       M Vijay       MEK Hussey      NLTC Perera              0   \n",
       "103087     5      MS Dhoni         SK Raina      NLTC Perera              0   \n",
       "112388     6      SK Raina         DR Smith         I Sharma              0   \n",
       "112397     3      DR Smith         MS Dhoni          B Kumar              0   \n",
       "112399     5  F du Plessis         MS Dhoni          B Kumar              0   \n",
       "120155     3      DR Smith     F du Plessis        KV Sharma              0   \n",
       "120186     4      SK Raina        DJ Hussey        KV Sharma              0   \n",
       "123504     1   BB McCullum         DR Smith        RS Bopara              0   \n",
       "123537     3      SK Raina      BB McCullum        RS Bopara              0   \n",
       "123573     2      MS Dhoni      BB McCullum         TA Boult              0   \n",
       "123574     3     RA Jadeja      BB McCullum         TA Boult              0   \n",
       "130586     1      DR Smith         SK Raina     MC Henriques              0   \n",
       "130602     5      SK Raina     F du Plessis     MC Henriques              0   \n",
       "130633     4      MS Dhoni     F du Plessis   A Ashish Reddy              0   \n",
       "154929     3     SR Watson     F du Plessis          B Kumar              0   \n",
       "154952     1  F du Plessis         SK Raina      Rashid Khan              0   \n",
       "155011     4     AT Rayudu         SK Raina           S Kaul              0   \n",
       "161397     3     AT Rayudu        SR Watson  Shakib Al Hasan              0   \n",
       "161401     1      SK Raina        AT Rayudu   Sandeep Sharma              0   \n",
       "163903     5     SR Watson     F du Plessis          B Kumar              0   \n",
       "163968     2      DJ Bravo     F du Plessis      Rashid Khan              0   \n",
       "163975     3     RA Jadeja     F du Plessis   Sandeep Sharma              0   \n",
       "163990     6     DL Chahar     F du Plessis   Sandeep Sharma              0   \n",
       "164007     5  F du Plessis  Harbhajan Singh    CR Brathwaite              0   \n",
       "164659     6  F du Plessis        SR Watson   Sandeep Sharma              0   \n",
       "164718     3      SK Raina        SR Watson    CR Brathwaite              0   \n",
       "172592     2  F du Plessis         SK Raina        V Shankar              0   \n",
       "172619     5   SW Billings        AT Rayudu          K Ahmed              0   \n",
       "174587     3  F du Plessis        SR Watson          B Kumar              0   \n",
       "174633     7      SK Raina        SR Watson      Rashid Khan              0   \n",
       "174677     1     SR Watson        AT Rayudu          B Kumar              0   \n",
       "174692     4     AT Rayudu        KM Jadhav         S Sharma              0   \n",
       "\n",
       "        ...  bye_runs  legbye_runs  noball_runs  penalty_runs  batsman_runs  \\\n",
       "98130   ...         0            0            0             0             0   \n",
       "98141   ...         0            0            0             0             0   \n",
       "98165   ...         0            0            0             0             0   \n",
       "98190   ...         0            0            0             0             0   \n",
       "98199   ...         0            0            0             0             0   \n",
       "103008  ...         0            0            0             0             0   \n",
       "103087  ...         0            0            0             0             0   \n",
       "112388  ...         0            0            0             0             0   \n",
       "112397  ...         0            0            0             0             0   \n",
       "112399  ...         0            0            0             0             0   \n",
       "120155  ...         0            0            0             0             0   \n",
       "120186  ...         0            0            0             0             0   \n",
       "123504  ...         0            0            0             0             0   \n",
       "123537  ...         0            0            0             0             0   \n",
       "123573  ...         0            0            0             0             0   \n",
       "123574  ...         0            0            0             0             0   \n",
       "130586  ...         0            0            0             0             0   \n",
       "130602  ...         0            0            0             0             0   \n",
       "130633  ...         0            0            0             0             0   \n",
       "154929  ...         0            0            0             0             0   \n",
       "154952  ...         0            0            0             0             0   \n",
       "155011  ...         0            0            0             0             1   \n",
       "161397  ...         0            0            0             0             0   \n",
       "161401  ...         0            0            0             0             0   \n",
       "163903  ...         0            0            0             0             0   \n",
       "163968  ...         0            0            0             0             0   \n",
       "163975  ...         0            0            0             0             0   \n",
       "163990  ...         0            0            0             0             0   \n",
       "164007  ...         0            0            0             0             1   \n",
       "164659  ...         0            0            0             0             0   \n",
       "164718  ...         0            0            0             0             0   \n",
       "172592  ...         0            0            0             0             0   \n",
       "172619  ...         0            0            0             0             0   \n",
       "174587  ...         0            0            0             0             0   \n",
       "174633  ...         0            0            0             0             0   \n",
       "174677  ...         0            0            0             0             0   \n",
       "174692  ...         0            0            0             0             0   \n",
       "\n",
       "        extra_runs  total_runs  player_dismissed dismissal_kind  \\\n",
       "98130            0           0           M Vijay        stumped   \n",
       "98141            0           0        MEK Hussey         caught   \n",
       "98165            0           0          SK Raina         caught   \n",
       "98190            0           0          DJ Bravo         caught   \n",
       "98199            0           0         RA Jadeja         caught   \n",
       "103008           0           0           M Vijay         caught   \n",
       "103087           0           0          MS Dhoni         caught   \n",
       "112388           0           0          SK Raina         caught   \n",
       "112397           0           0          DR Smith         caught   \n",
       "112399           0           0      F du Plessis         caught   \n",
       "120155           0           0      F du Plessis        run out   \n",
       "120186           0           0          SK Raina         caught   \n",
       "123504           0           0          DR Smith        run out   \n",
       "123537           0           0          SK Raina        run out   \n",
       "123573           0           0          MS Dhoni         caught   \n",
       "123574           0           0         RA Jadeja        run out   \n",
       "130586           0           0          DR Smith         caught   \n",
       "130602           0           0          SK Raina         caught   \n",
       "130633           0           0      F du Plessis        run out   \n",
       "154929           0           0         SR Watson         caught   \n",
       "154952           0           0      F du Plessis        stumped   \n",
       "155011           0           1         AT Rayudu        run out   \n",
       "161397           0           0         SR Watson        run out   \n",
       "161401           0           0          SK Raina         caught   \n",
       "163903           0           0         SR Watson         caught   \n",
       "163968           0           0          DJ Bravo         caught   \n",
       "163975           0           0         RA Jadeja         caught   \n",
       "163990           0           0         DL Chahar         caught   \n",
       "164007           0           1   Harbhajan Singh        run out   \n",
       "164659           0           0      F du Plessis         caught   \n",
       "164718           0           0          SK Raina         caught   \n",
       "172592           0           0      F du Plessis         caught   \n",
       "172619           0           0       SW Billings         caught   \n",
       "174587           0           0      F du Plessis        run out   \n",
       "174633           0           0          SK Raina        stumped   \n",
       "174677           0           0         SR Watson         caught   \n",
       "174692           0           0         AT Rayudu         caught   \n",
       "\n",
       "                fielder  \n",
       "98130         Q de Kock  \n",
       "98141         Q de Kock  \n",
       "98165         DJG Sammy  \n",
       "98190    A Ashish Reddy  \n",
       "98199          A Mishra  \n",
       "103008         PA Patel  \n",
       "103087        KV Sharma  \n",
       "112388  Y Venugopal Rao  \n",
       "112397        DA Warner  \n",
       "112399         KL Rahul  \n",
       "120155        KV Sharma  \n",
       "120186         AJ Finch  \n",
       "123504         TA Boult  \n",
       "123537         KL Rahul  \n",
       "123573        DA Warner  \n",
       "123574         TA Boult  \n",
       "130586        GH Vihari  \n",
       "130602       EJG Morgan  \n",
       "130633   A Ashish Reddy  \n",
       "154929         DJ Hooda  \n",
       "154952          WP Saha  \n",
       "155011    KS Williamson  \n",
       "161397    KS Williamson  \n",
       "161401    KS Williamson  \n",
       "163903       SP Goswami  \n",
       "163968         S Dhawan  \n",
       "163975   Sandeep Sharma  \n",
       "163990    CR Brathwaite  \n",
       "164007      Rashid Khan  \n",
       "164659   Sandeep Sharma  \n",
       "164718       SP Goswami  \n",
       "172592       J Bairstow  \n",
       "172619        V Shankar  \n",
       "174587         DJ Hooda  \n",
       "174633       J Bairstow  \n",
       "174677       J Bairstow  \n",
       "174692        V Shankar  \n",
       "\n",
       "[37 rows x 21 columns]"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Csk_wickets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Csk batsmen threw their wickets in  the below mentioned ways "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "caught     25\n",
       "run out     9\n",
       "stumped     3\n",
       "Name: dismissal_kind, dtype: int64"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Csk_wickets['dismissal_kind'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# csk lost a total of 37 wickets from 12 matches against SRH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "414      5\n",
       "7950     5\n",
       "521      4\n",
       "11332    4\n",
       "7913     3\n",
       "551      3\n",
       "474      3\n",
       "11324    2\n",
       "507      2\n",
       "435      2\n",
       "7953     2\n",
       "7939     2\n",
       "Name: match_id, dtype: int64"
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Csk_wickets['match_id'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1c472d759c8>"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Csk_wickets['dismissal_kind'].value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [],
   "source": [
    "Csk_wickets_avg=37//12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Csk wickets lost per match: 3\n"
     ]
    }
   ],
   "source": [
    "print(\"Csk wickets lost per match:\",Csk_wickets_avg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many runs ll be scored totally in this match?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>98083</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98084</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98085</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98086</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98087</th>\n",
       "      <td>414</td>\n",
       "      <td>2</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>MEK Hussey</td>\n",
       "      <td>M Vijay</td>\n",
       "      <td>DJG Sammy</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174568</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174569</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174570</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174571</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174572</th>\n",
       "      <td>11332</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>MK Pandey</td>\n",
       "      <td>YK Pathan</td>\n",
       "      <td>DJ Bravo</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2930 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        match_id  inning         batting_team         bowling_team  over  \\\n",
       "98083        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98084        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98085        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98086        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "98087        414       2  Chennai Super Kings  Sunrisers Hyderabad     1   \n",
       "...          ...     ...                  ...                  ...   ...   \n",
       "174568     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174569     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174570     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174571     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "174572     11332       1  Sunrisers Hyderabad  Chennai Super Kings    20   \n",
       "\n",
       "        ball     batsman non_striker     bowler  is_super_over  ...  bye_runs  \\\n",
       "98083      1  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98084      2  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "98085      3     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98086      4     M Vijay  MEK Hussey  DJG Sammy              0  ...         0   \n",
       "98087      5  MEK Hussey     M Vijay  DJG Sammy              0  ...         0   \n",
       "...      ...         ...         ...        ...            ...  ...       ...   \n",
       "174568     2   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174569     3   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174570     4   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174571     5   YK Pathan   MK Pandey   DJ Bravo              0  ...         0   \n",
       "174572     6   MK Pandey   YK Pathan   DJ Bravo              0  ...         0   \n",
       "\n",
       "        legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "98083             0            0             0             0           0   \n",
       "98084             0            0             0             1           0   \n",
       "98085             0            0             0             0           0   \n",
       "98086             0            0             0             1           0   \n",
       "98087             0            0             0             1           0   \n",
       "...             ...          ...           ...           ...         ...   \n",
       "174568            0            0             0             0           0   \n",
       "174569            0            0             0             2           0   \n",
       "174570            0            0             0             2           0   \n",
       "174571            0            0             0             1           0   \n",
       "174572            0            0             0             2           0   \n",
       "\n",
       "        total_runs  player_dismissed dismissal_kind fielder  \n",
       "98083            0               NaN            NaN     NaN  \n",
       "98084            1               NaN            NaN     NaN  \n",
       "98085            0               NaN            NaN     NaN  \n",
       "98086            1               NaN            NaN     NaN  \n",
       "98087            1               NaN            NaN     NaN  \n",
       "...            ...               ...            ...     ...  \n",
       "174568           0               NaN            NaN     NaN  \n",
       "174569           2               NaN            NaN     NaN  \n",
       "174570           2               NaN            NaN     NaN  \n",
       "174571           1               NaN            NaN     NaN  \n",
       "174572           2               NaN            NaN     NaN  \n",
       "\n",
       "[2930 rows x 21 columns]"
      ]
     },
     "execution_count": 311,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    1188\n",
       "0     973\n",
       "4     347\n",
       "2     234\n",
       "6     171\n",
       "3      12\n",
       "5       3\n",
       "7       1\n",
       "8       1\n",
       "Name: total_runs, dtype: int64"
      ]
     },
     "execution_count": 312,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Srh_Csk['total_runs'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Both Csk and Srh scored a Total of 4136 runs from 12 matches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [],
   "source": [
    "Total=Srh_Csk['total_runs'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Both Csk and Srh scored a Total of 4136 runs from 12 matches\n"
     ]
    }
   ],
   "source": [
    "print(\"Both Csk and Srh scored a Total of {} runs from 12 matches\".format(Total))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 318,
   "metadata": {},
   "outputs": [],
   "source": [
    "Average_Total_Score_of_Srh_Csk=Total//12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Their Average total score was 344\n"
     ]
    }
   ],
   "source": [
    "print(\"Their Average total score was\",Average_Total_Score_of_Srh_Csk)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  We can predict the match results from this analysis but current form of team and its players and toss plays an huge role in predicting the winner in this match.Those who won the toss ll have more chance to win the Game."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}