Fix game number indexing in player summary generation to support data type selection. Updated logic to correctly reference game numbers based on the selected data type ("Team" or "Player"), ensuring accurate retrieval of player statistics. This change enhances data integrity and improves the clarity of player summaries during simulations.

app.py

@@ -598,7 +598,10 @@ if st.button("Run"):
 
     player_summary = pd.DataFrame()
     for game_num in range(game_count):
-        game_df = results_dict[f'game {game_num + 1}']  # Use correct dictionary key format
+        if data_type == "Team":
+            game_df = results_dict[f'game {game_num + 1}']  # Use correct dictionary key format
+        else:
+            game_df = results_dict[f'game {game_num}']  # Use correct dictionary key format
         # Remove 'game X' from playernames if present
         clean_df = game_df.copy()
         clean_df['playername'] = clean_df['playername'].str.split(' game ').str[0]