Install via
devtools::install_github("systats/sportmonks")
library(sportmonks)Set key
key <- read_json("tests/settings.json")[[1]]
Sys.setenv(sportmonks = key)
#Sys.getenv("sportmonks")get_continents()## # A tibble: 7 x 2
## id name
## <int> <chr>
## 1 1 Europe
## 2 2 Asia
## 3 3 Africa
## 4 4 Oceania
## 5 5 Antarctica
## 6 6 North America
## 7 7 South America
get_continent(1)## # A tibble: 1 x 2
## id name
## <int> <chr>
## 1 1 Europe
get_countries()## # A tibble: 50 x 11
## id name extra_continent extra_sub_region extra_world_reg… extra_fifa
## <int> <chr> <chr> <chr> <chr> <chr>
## 1 2 Pola… Europe Eastern Europe EMEA POL
## 2 5 Braz… Americas South America AMER BRA
## 3 11 Germ… Europe Western Europe EMEA GER
## 4 17 Fran… Europe Western Europe EMEA FRA
## 5 20 Port… Europe Southern Europe EMEA POR
## 6 23 Côte… Africa Western Africa EMEA CIV
## 7 26 Mali Africa Western Africa EMEA MLI
## 8 32 Spain Europe Southern Europe EMEA ESP
## 9 38 Neth… Europe Western Europe EMEA NED
## 10 41 Euro… <NA> <NA> <NA> <NA>
## # … with 40 more rows, and 5 more variables: extra_iso <chr>,
## # extra_iso2 <chr>, extra_longitude <chr>, extra_latitude <chr>,
## # extra_flag <chr>
get_country(2)## # A tibble: 1 x 2
## id name
## <int> <chr>
## 1 2 Asia
get_leagues()## # A tibble: 2 x 12
## id legacy_id country_id logo_path name is_cup current_season_…
## <int> <int> <int> <chr> <chr> <lgl> <int>
## 1 271 43 320 https://… Supe… FALSE 12919
## 2 501 66 1161 https://… Prem… FALSE 12963
## # … with 5 more variables: current_stage_id <int>, live_standings <lgl>,
## # coverage_topscorer_goals <lgl>, coverage_topscorer_assists <lgl>,
## # coverage_topscorer_cards <lgl>
get_league(271)## # A tibble: 1 x 12
## id legacy_id country_id logo_path name is_cup current_season_…
## <int> <int> <int> <chr> <chr> <lgl> <int>
## 1 271 43 320 https://… Supe… FALSE 12919
## # … with 5 more variables: current_stage_id <int>, live_standings <lgl>,
## # coverage_topscorer_goals <lgl>, coverage_topscorer_assists <lgl>,
## # coverage_topscorer_cards <lgl>
get_seasons()## # A tibble: 28 x 6
## id name league_id is_current_seas… current_stage_id current_round_id
## <int> <chr> <int> <lgl> <int> <int>
## 1 1273 2005… 271 FALSE NA NA
## 2 1274 2006… 271 FALSE NA NA
## 3 1275 2007… 271 FALSE NA NA
## 4 1276 2008… 271 FALSE NA NA
## 5 1277 2009… 271 FALSE NA NA
## 6 1278 2010… 271 FALSE NA NA
## 7 1279 2011… 271 FALSE NA NA
## 8 1280 2012… 271 FALSE NA NA
## 9 1281 2013… 271 FALSE NA NA
## 10 1282 2014… 271 FALSE NA NA
## # … with 18 more rows
get_season(1273)## # A tibble: 1 x 4
## id name league_id is_current_season
## <int> <chr> <int> <lgl>
## 1 1273 2005/2006 271 FALSE
get_fixture(id = 10333321)## # A tibble: 1 x 45
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.03e7 501 12963 7508262 147767 8928 14468
## # … with 38 more variables: localteam_id <int>, visitorteam_id <int>,
## # weather_report_code <chr>, weather_report_type <chr>,
## # weather_report_icon <chr>, weather_report_temperature_temp <dbl>,
## # weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## # weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## # weather_report_wind_degree <int>, commentaries <lgl>, pitch <chr>,
## # winning_odds_calculated <lgl>, formations_localteam_formation <chr>,
## # formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## # scores_visitorteam_score <int>, scores_ht_score <chr>,
## # scores_ft_score <chr>, time_status <chr>,
## # time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## # time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## # time_starting_at_timezone <chr>, time_minute <int>,
## # time_added_time <int>, time_injury_time <int>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
get_fixtures(ids = c(10333321, 10333322))## # A tibble: 2 x 46
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.03e7 501 12963 7508262 147767 8928 14468
## 2 1.03e7 501 12963 7508262 147767 8909 15815
## # … with 39 more variables: localteam_id <int>, visitorteam_id <int>,
## # weather_report_code <chr>, weather_report_type <chr>,
## # weather_report_icon <chr>, weather_report_temperature_temp <dbl>,
## # weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## # weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## # weather_report_wind_degree <int>, commentaries <lgl>, pitch <chr>,
## # winning_odds_calculated <lgl>, formations_localteam_formation <chr>,
## # formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## # scores_visitorteam_score <int>, scores_ht_score <chr>,
## # scores_ft_score <chr>, time_status <chr>,
## # time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## # time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## # time_starting_at_timezone <chr>, time_minute <int>,
## # time_added_time <int>, time_injury_time <int>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## # winner_team_id <int>
get_fixture(date = "2019-01-23")## # A tibble: 6 x 47
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.03e7 501 12963 7508262 147766 8906 15818
## 2 1.03e7 501 12963 7508262 147766 8926 17265
## 3 1.03e7 501 12963 7508262 147766 8909 14855
## 4 1.03e7 501 12963 7508262 147766 288196 17256
## 5 1.03e7 501 12963 7508262 147766 219 14466
## 6 1.03e7 501 12963 7508262 147766 8922 14853
## # … with 40 more variables: localteam_id <int>, visitorteam_id <int>,
## # winner_team_id <int>, weather_report_code <chr>,
## # weather_report_type <chr>, weather_report_icon <chr>,
## # weather_report_temperature_temp <dbl>,
## # weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## # weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## # weather_report_wind_degree <dbl>, commentaries <lgl>,
## # attendance <int>, pitch <chr>, winning_odds_calculated <lgl>,
## # formations_localteam_formation <chr>,
## # formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## # scores_visitorteam_score <int>, scores_ht_score <chr>,
## # scores_ft_score <chr>, time_status <chr>,
## # time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## # time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## # time_starting_at_timezone <chr>, time_minute <int>,
## # time_added_time <int>, time_injury_time <int>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
get_fixtures(dates = c("2019-01-01", "2019-02-01"))## # A tibble: 14 x 47
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.03e7 501 12963 7508262 147766 8906 15818
## 2 1.03e7 501 12963 7508262 147766 8926 17265
## 3 1.03e7 501 12963 7508262 147766 8909 14855
## 4 1.03e7 501 12963 7508262 147766 288196 17256
## 5 1.03e7 501 12963 7508262 147766 219 14466
## 6 1.03e7 501 12963 7508262 147766 8922 14853
## 7 1.03e7 501 12963 7508262 147767 8926 19316
## 8 1.03e7 501 12963 7508262 147767 8928 14468
## 9 1.03e7 501 12963 7508262 147767 8909 15815
## 10 1.03e7 501 12963 7508262 147767 289858 14859
## 11 1.03e7 501 12963 7508262 147767 289869 17847
## 12 1.03e7 501 12963 7508262 147767 8943 18748
## 13 1.03e7 501 12963 7508262 147759 8909 17256
## 14 1.03e7 501 12963 7508262 147768 8906 17847
## # … with 40 more variables: localteam_id <int>, visitorteam_id <int>,
## # winner_team_id <int>, weather_report_code <chr>,
## # weather_report_type <chr>, weather_report_icon <chr>,
## # weather_report_temperature_temp <dbl>,
## # weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## # weather_report_humidity <chr>, weather_report_wind_speed <chr>,
## # weather_report_wind_degree <dbl>, commentaries <lgl>,
## # attendance <int>, pitch <chr>, winning_odds_calculated <lgl>,
## # formations_localteam_formation <chr>,
## # formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## # scores_visitorteam_score <int>, scores_ht_score <chr>,
## # scores_ft_score <chr>, time_status <chr>,
## # time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## # time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## # time_starting_at_timezone <chr>, time_minute <int>,
## # time_added_time <int>, time_injury_time <int>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>
# missing: get by date range for teamget_live()## # A tibble: 2 x 29
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.19e7 271 12919 7088926 167805 5659 14652
## 2 1.19e7 501 12963 7508261 168045 NA 14859
## # … with 22 more variables: localteam_id <int>, visitorteam_id <int>,
## # commentaries <lgl>, winning_odds_calculated <lgl>,
## # scores_localteam_score <int>, scores_visitorteam_score <int>,
## # time_status <chr>, time_starting_at_date_time <chr>,
## # time_starting_at_date <chr>, time_starting_at_time <chr>,
## # time_starting_at_timestamp <int>, time_starting_at_timezone <chr>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## # group_id <int>
# get_live_now()
# all
# inplayget_comments(10333321)## # A tibble: 12 x 6
## fixture_id important order goal minute comment
## <int> <lgl> <int> <lgl> <int> <chr>
## 1 10333321 FALSE 12 FALSE 87 Substitution - Aberdeen. James…
## 2 10333321 TRUE 11 FALSE 82 Kris Boyd - Kilmarnock - rece…
## 3 10333321 FALSE 10 FALSE 79 Substitution - Kilmarnock. Mik…
## 4 10333321 FALSE 9 FALSE 78 Substitution - Aberdeen. Tommi…
## 5 10333321 TRUE 8 FALSE 77 Alan Power - Kilmarnock - rec…
## 6 10333321 TRUE 7 FALSE 75 Scott Boyd - Kilmarnock - rec…
## 7 10333321 TRUE 6 FALSE 73 Aaron Tshibola - Kilmarnock - …
## 8 10333321 FALSE 5 FALSE 68 Substitution - Aberdeen. Niall…
## 9 10333321 FALSE 4 FALSE 66 Substitution - Kilmarnock. Ror…
## 10 10333321 FALSE 3 FALSE 60 Substitution - Kilmarnock. Kri…
## 11 10333321 TRUE 2 FALSE 29 Graeme Shinnie - Aberdeen - r…
## 12 10333321 TRUE 1 FALSE 45 Lewis Ferguson - Aberdeen - r…
get_highlights(10333321)## # A tibble: 12 x 6
## fixture_id important order goal minute comment
## <int> <lgl> <int> <lgl> <int> <chr>
## 1 10333321 FALSE 12 FALSE 87 Substitution - Aberdeen. James…
## 2 10333321 TRUE 11 FALSE 82 Kris Boyd - Kilmarnock - rece…
## 3 10333321 FALSE 10 FALSE 79 Substitution - Kilmarnock. Mik…
## 4 10333321 FALSE 9 FALSE 78 Substitution - Aberdeen. Tommi…
## 5 10333321 TRUE 8 FALSE 77 Alan Power - Kilmarnock - rec…
## 6 10333321 TRUE 7 FALSE 75 Scott Boyd - Kilmarnock - rec…
## 7 10333321 TRUE 6 FALSE 73 Aaron Tshibola - Kilmarnock - …
## 8 10333321 FALSE 5 FALSE 68 Substitution - Aberdeen. Niall…
## 9 10333321 FALSE 4 FALSE 66 Substitution - Kilmarnock. Ror…
## 10 10333321 FALSE 3 FALSE 60 Substitution - Kilmarnock. Kri…
## 11 10333321 TRUE 2 FALSE 29 Graeme Shinnie - Aberdeen - r…
## 12 10333321 TRUE 1 FALSE 45 Lewis Ferguson - Aberdeen - r…
get_head2head(team1 = 309, team2 = 66)## # A tibble: 35 x 50
## id league_id season_id stage_id round_id venue_id referee_id
## <int> <int> <int> <int> <int> <int> <int>
## 1 1.03e7 501 12963 7508262 147774 8946 18748
## 2 1.03e7 501 12963 7508262 147766 8922 14853
## 3 1.03e7 501 12963 7508262 147745 8946 14853
## 4 1.87e6 501 7953 56530 129141 8946 15815
## 5 1.87e6 501 7953 56530 129128 8922 14853
## 6 1.87e6 501 7953 56530 129122 8946 17259
## 7 3.79e5 501 1935 3225 52443 8946 NA
## 8 3.78e5 501 1935 3225 52284 8877 NA
## 9 3.77e5 501 1935 3225 52128 8946 NA
## 10 3.79e5 501 1934 3224 52432 8877 NA
## # … with 25 more rows, and 43 more variables: localteam_id <int>,
## # visitorteam_id <int>, winner_team_id <int>, weather_report_code <chr>,
## # weather_report_type <chr>, weather_report_icon <chr>,
## # weather_report_temperature_temp <dbl>,
## # weather_report_temperature_unit <chr>, weather_report_clouds <chr>,
## # weather_report_humidity <chr>, weather_report_pressure <int>,
## # weather_report_wind_speed <chr>, weather_report_wind_degree <int>,
## # commentaries <lgl>, pitch <chr>, winning_odds_calculated <lgl>,
## # formations_localteam_formation <chr>,
## # formations_visitorteam_formation <chr>, scores_localteam_score <int>,
## # scores_visitorteam_score <int>, scores_ht_score <chr>,
## # scores_ft_score <chr>, time_status <chr>,
## # time_starting_at_date_time <chr>, time_starting_at_date <chr>,
## # time_starting_at_time <chr>, time_starting_at_timestamp <int>,
## # time_starting_at_timezone <chr>, time_minute <int>,
## # time_added_time <int>, time_injury_time <int>,
## # coaches_localteam_coach_id <int>, coaches_visitorteam_coach_id <int>,
## # standings_localteam_position <int>,
## # standings_visitorteam_position <int>,
## # assistants_first_assistant_id <int>,
## # assistants_second_assistant_id <int>,
## # assistants_fourth_official_id <int>, leg <chr>, deleted <lgl>,
## # scores_localteam_pen_score <int>, scores_visitorteam_pen_score <int>,
## # group_id <int>
get_team(180)## # A tibble: 1 x 10
## id legacy_id name short_code country_id national_team founded
## <int> <int> <chr> <chr> <int> <lgl> <int>
## 1 180 696 Kilm… KIL 1161 FALSE 1869
## # … with 3 more variables: logo_path <chr>, venue_id <int>,
## # current_season_id <int>
get_team(season_id = 1273)## # A tibble: 12 x 10
## id legacy_id name short_code country_id national_team founded
## <int> <int> <chr> <chr> <int> <lgl> <int>
## 1 85 146 Købe… COP 320 FALSE 1992
## 2 86 522 Silk… SIL 320 FALSE 1917
## 3 211 631 Hors… ACH 320 FALSE 1994
## 4 293 NA Brøn… SLO 320 FALSE 1964
## 5 390 NA Sønd… SON 320 FALSE 2004
## 6 939 513 Midt… FCM 320 FALSE 1999
## 7 1020 173 AaB AAB 320 FALSE 1885
## 8 1371 518 Esbj… <NA> 320 FALSE 1924
## 9 1789 520 OB ODE 320 FALSE 1889
## 10 2394 NA Nord… FCN 320 FALSE 2003
## 11 2447 628 Vibo… <NA> 320 FALSE 1896
## 12 2905 629 AGF AGF 320 FALSE 1902
## # … with 3 more variables: logo_path <chr>, venue_id <int>,
## # current_season_id <int>
get_player(180)## # A tibble: 1 x 15
## player_id team_id country_id position_id common_name fullname firstname
## <int> <int> <int> <int> <chr> <chr> <chr>
## 1 180 53 462 3 S. Sinclair S. Sinc… Scott
## # … with 8 more variables: lastname <chr>, nationality <chr>,
## # birthdate <chr>, birthcountry <chr>, birthplace <chr>, height <chr>,
## # weight <chr>, image_path <chr>
get_topscores(season_id = 1273, agg = T)## # A tibble: 1 x 4
## id name league_id is_current_season
## <int> <chr> <int> <lgl>
## 1 1273 2005/2006 271 FALSE
get_venue(8928)## # A tibble: 1 x 7
## id name surface address city capacity image_path
## <int> <chr> <chr> <chr> <chr> <int> <chr>
## 1 8928 Pittodri… grass Pittodrie… Aber… 22199 https://cdn.sportmonks…
# by id
# by season idget_round(round_id = 147767)## # A tibble: 1 x 7
## id name league_id season_id stage_id start end
## <int> <int> <int> <int> <int> <chr> <chr>
## 1 147767 23 501 12963 7508262 2019-01-26 2019-01-27
get_round(season_id = 12963)## # A tibble: 38 x 7
## id name league_id season_id stage_id start end
## <int> <int> <int> <int> <int> <chr> <chr>
## 1 147745 1 501 12963 7508262 2018-08-04 2018-08-05
## 2 147746 2 501 12963 7508262 2018-08-11 2018-08-12
## 3 147747 3 501 12963 7508262 2018-08-25 2018-08-26
## 4 147748 4 501 12963 7508262 2018-09-01 2018-09-02
## 5 147749 5 501 12963 7508262 2018-09-14 2018-09-15
## 6 147750 6 501 12963 7508262 2018-09-22 2018-09-23
## 7 147751 7 501 12963 7508262 2018-09-29 2018-09-30
## 8 147752 8 501 12963 7508262 2018-10-06 2018-10-07
## 9 147753 9 501 12963 7508262 2018-10-20 2018-10-21
## 10 147754 10 501 12963 7508262 2018-10-23 2018-12-19
## # … with 28 more rows
get_odds(10333321)## # A tibble: 51 x 17
## id name suspended bookmaker_data_… bookmaker_data_…
## <int> <chr> <lgl> <int> <chr>
## 1 1.00e0 3Way… FALSE 25679320 Sbo
## 2 1.00e1 Home… FALSE 97 Unibet
## 3 8.00e1 3Way… FALSE 25679219 Marathon
## 4 1.20e1 Over… FALSE 25679320 Sbo
## 5 3.80e1 Over… FALSE 25679320 Sbo
## 6 4.70e1 Over… FALSE 25679219 Marathon
## 7 9.76e5 HT/F… FALSE 25679320 Sbo
## 8 9.76e5 Clea… FALSE 1 10Bet
## 9 8.59e6 Clea… FALSE 2 bet365
## 10 9.76e5 Both… FALSE 25679219 Marathon
## # … with 41 more rows, and 12 more variables:
## # bookmaker_data_odds_data_label <chr>,
## # bookmaker_data_odds_data_value <chr>,
## # bookmaker_data_odds_data_probability <chr>,
## # bookmaker_data_odds_data_dp3 <chr>,
## # bookmaker_data_odds_data_american <int>,
## # bookmaker_data_odds_data_winning <lgl>,
## # bookmaker_data_odds_data_stop <lgl>,
## # bookmaker_data_odds_data_last_update_date <chr>,
## # bookmaker_data_odds_data_last_update_timezone_type <int>,
## # bookmaker_data_odds_data_last_update_timezone <chr>,
## # bookmaker_data_odds_data_total <chr>,
## # bookmaker_data_odds_data_handicap <chr>
# by fixture and bookmarker
# by fixture and market
# by fixture id
# inplay odds by fixture idget_coache(896462)## # A tibble: 1 x 12
## coach_id team_id country_id common_name fullname firstname lastname
## <int> <int> <int> <chr> <chr> <chr> <chr>
## 1 896462 273 1161 D. McInnes D. McIn… Derek McInnes
## # … with 5 more variables: nationality <chr>, birthdate <chr>,
## # birthcountry <chr>, birthplace <chr>, image_path <chr>
get_stage(stage_id = 7508262)## # A tibble: 1 x 4
## id name league_id season_id
## <int> <chr> <int> <int>
## 1 7508262 1st Phase 501 12963
get_stage(season_id = 12963)## # A tibble: 2 x 5
## id name type league_id season_id
## <int> <chr> <chr> <int> <int>
## 1 7508261 2nd Phase Group Stage 501 12963
## 2 7508262 1st Phase Group Stage 501 12963
get_bookmakers()## # A tibble: 42 x 2
## id name
## <int> <chr>
## 1 1 10Bet
## 2 2 bet365
## 3 3 188Bet
## 4 5 5 Dimes
## 5 7 888Sport
## 6 9 BetFred
## 7 11 Bet-At-Home
## 8 13 BetCRIS
## 9 15 Betfair
## 10 17 BetOnline
## # … with 32 more rows
get_bookmaker(book_id = 25679219)## # A tibble: 1 x 2
## id name
## <int> <chr>
## 1 25679219 Marathon
get_markets()## # A tibble: 516 x 2
## id name
## <int> <chr>
## 1 1 3Way Result
## 2 10 Home/Away
## 3 12 Over/Under
## 4 28 Asian Handicap
## 5 37 3Way Result 1st Half
## 6 38 Over/Under 1st Half
## 7 47 Over/Under 2nd Half
## 8 63 Double Chance
## 9 69 Team To Score First
## 10 75 Team To Score Last
## # … with 506 more rows
get_market(id = 10)## # A tibble: 1 x 2
## id name
## <int> <chr>
## 1 10 Home/Away
get_team_squads(season_id = 12963, team_id = 180)## # A tibble: 25 x 40
## player_id position_id number captain injured minutes appearences lineups
## <int> <int> <int> <int> <lgl> <int> <int> <int>
## 1 172042 1 1 0 FALSE 1080 12 12
## 2 173098 1 13 0 FALSE 0 0 0
## 3 12321 2 2 0 FALSE 3131 36 35
## 4 3004 2 5 0 FALSE 2054 26 24
## 5 172665 2 16 0 FALSE 1490 17 16
## 6 174170 2 18 0 FALSE 172 2 2
## 7 173080 2 3 0 FALSE 3124 35 35
## 8 7057 3 6 0 FALSE 3044 35 34
## 9 2302 3 8 0 FALSE 2668 34 29
## 10 2259 3 29 0 FALSE 2478 34 29
## # … with 15 more rows, and 32 more variables: substitute_in <int>,
## # substitute_out <int>, substitutes_on_bench <int>, goals <int>,
## # assists <int>, saves <int>, inside_box_saves <int>, dispossesed <int>,
## # interceptions <int>, yellowcards <int>, yellowred <int>,
## # redcards <int>, tackles <int>, blocks <int>, hit_post <int>,
## # fouls_committed <int>, fouls_drawn <int>, crosses_total <int>,
## # crosses_accurate <int>, dribbles_attempts <int>,
## # dribbles_success <int>, dribbles_dribbled_past <int>,
## # duels_total <int>, duels_won <int>, passes_total <int>,
## # passes_accuracy <int>, passes_key_passes <int>, penalties_won <int>,
## # penalties_scores <int>, penalties_missed <int>,
## # penalties_committed <int>, penalties_saves <int>
get_tv(10333321)## # A tibble: 9 x 2
## fixture_id tvstation
## <int> <chr>
## 1 10333321 BBC Alba
## 2 10333321 bet365
## 3 10333321 bet365.it
## 4 10333321 BetClic.fr
## 5 10333321 Chance
## 6 10333321 Sportingbet
## 7 10333321 Tipsport
## 8 10333321 Tipsport SK
## 9 10333321 Unibet
sessionInfo()## R version 3.6.0 (2019-04-26)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS High Sierra 10.13.6
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.6/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] sportmonks_0.0.0.9000 testthat_2.1.1 janitor_1.2.0
## [4] listviewer_2.1.0 xml2_1.2.0 jsonlite_1.6
## [7] httr_1.4.0 devtools_2.0.2 usethis_1.5.0
## [10] forcats_0.4.0 stringr_1.4.0 dplyr_0.8.0.1
## [13] purrr_0.3.2 readr_1.3.1 tidyr_0.8.3
## [16] tibble_2.1.1 ggplot2_3.1.1 tidyverse_1.2.1
## [19] badger_0.0.4
##
## loaded via a namespace (and not attached):
## [1] pkgload_1.0.2 modelr_0.1.4 assertthat_0.2.1
## [4] rvcheck_0.1.3 cellranger_1.1.0 yaml_2.2.0
## [7] remotes_2.0.4 sessioninfo_1.1.1 pillar_1.3.1
## [10] backports_1.1.4 lattice_0.20-38 glue_1.3.1
## [13] rlist_0.4.6.1 digest_0.6.18 RColorBrewer_1.1-2
## [16] snakecase_0.9.2 rvest_0.3.3 colorspace_1.4-1
## [19] htmltools_0.3.6 plyr_1.8.4 pkgconfig_2.0.2
## [22] broom_0.5.2 haven_2.1.0 scales_1.0.0
## [25] processx_3.3.0 generics_0.0.2 pacman_0.5.1
## [28] withr_2.1.2 lazyeval_0.2.2 cli_1.1.0
## [31] magrittr_1.5 crayon_1.3.4 readxl_1.3.1
## [34] memoise_1.1.0 evaluate_0.13 ps_1.3.0
## [37] fansi_0.4.0 fs_1.3.0 nlme_3.1-139
## [40] pkgbuild_1.0.3 data.table_1.12.2 tools_3.6.0
## [43] prettyunits_1.0.2 hms_0.4.2 munsell_0.5.0
## [46] callr_3.2.0 compiler_3.6.0 rlang_0.3.4
## [49] grid_3.6.0 rstudioapi_0.10 htmlwidgets_1.3
## [52] rmarkdown_1.12 gtable_0.3.0 curl_3.3
## [55] R6_2.4.0 lubridate_1.7.4 knitr_1.22
## [58] utf8_1.1.4 rprojroot_1.3-2 dlstats_0.1.0
## [61] desc_1.2.0 stringi_1.4.3 Rcpp_1.0.1
## [64] tidyselect_0.2.5 xfun_0.6