Refactor init_team_data function in app.py to improve variable handling and clarity. Introduced a count_var to streamline the distinction between raw_display and raw_opponent data tables, enhancing the readability of statistical calculations for kills, deaths, assists, and total CS. This change contributes to better organization and understanding of team performance metrics.

app.py

@@ -117,6 +117,7 @@ def init_team_data(team, opponent, win_loss, kill_prediction, death_prediction,
         raw_opponent = pd.DataFrame(list(cursor))
 
         for tables in [raw_display, raw_opponent]:
+            count_var = 'raw_display' if tables == raw_display else 'raw_opponent'
             calc_columns = ['kills', 'deaths', 'assists', 'total_cs']
             league_win_stats = {}
             league_loss_stats = {}
@@ -263,7 +264,7 @@ def init_team_data(team, opponent, win_loss, kill_prediction, death_prediction,
             tables['playername_avg_assist_share_loss'] = tables['playername_avg_assists_loss'] / tables['teamname_avg_kills_loss']
             tables['playername_avg_cs_share_loss'] = tables['playername_avg_total_cs_loss'] / tables['teamname_avg_total_cs_loss']
 
-            if tables == raw_display:
+            if count_var == 'raw_display':
                 player_tables = tables
             else:
                 opp_tables = tables