diff --git a/src/p2lab/genetic/genetic.py b/src/p2lab/genetic/genetic.py
index 6368284..f111bea 100644
--- a/src/p2lab/genetic/genetic.py
+++ b/src/p2lab/genetic/genetic.py
@@ -145,8 +145,9 @@ async def genetic_algorithm(
             # Only do this step if not mutating with fitness, as fitness scores become
             # invalid after crossover if doing so
             if not mutate_with_fitness:
-                new_teams = crossover_fn(
+                new_teams, new_fitness = crossover_fn(
                     teams=new_teams,
+                    fitness=new_fitness,
                     num_teams=num_teams,
                     num_pokemon=team_size,
                     crossover_prob=crossover_prob,
diff --git a/src/p2lab/genetic/operations.py b/src/p2lab/genetic/operations.py
index 10bca47..0205caf 100644
--- a/src/p2lab/genetic/operations.py
+++ b/src/p2lab/genetic/operations.py
@@ -55,6 +55,7 @@ def build_crossover_fn(
 
     def crossover_fn(
         teams: list[Team],
+        fitness: np.ndarray,
         num_teams: int,
         num_pokemon: int,
         crossover_prob: float,
@@ -117,8 +118,9 @@ def crossover_fn(
         # best to run an even number of teams lol
         if num_teams % 2 != 0:
             new_teams.pop()
+            fitness = fitness[:-1]
 
-        return new_teams
+        return new_teams, fitness
 
     return crossover_fn