Align Assist Projection Scaling with Kill Projection Method

Modify the assist projection calculation to:
- Use kill scaling factor for assist projections in both win and loss scenarios
- Remove separate assist scaling logic
- Maintain consistent scaling approach across kill and assist projections

app.py

@@ -335,18 +335,12 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     raw_kills = team_data.apply(lambda row: row['wKill%'] * opp_pos_kills_boost_win.get(row['position'], 1), axis=1)
                     raw_deaths = team_data.apply(lambda row: row['wDeath%'] * opp_pos_deaths_boost_win.get(row['position'], 1), axis=1)
                     raw_assists = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1)
-                    print(raw_kills.sum())
-                    print(raw_deaths.sum())
-                    print(raw_assists.sum())
                     kill_scale = kill_predictions[game] / raw_kills.sum()
                     death_scale = min(1.0, death_predictions[game] / raw_deaths.sum()) if raw_deaths.sum() > 0 else 1.0
                     assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
-                    print(kill_scale)
-                    print(death_scale)
-                    print(assist_scale)
                     team_data['Kill_Proj'] = raw_kills * kill_scale
                     team_data['Death_Proj'] = raw_deaths * death_scale
-                    team_data['Assist_Proj'] = raw_assists * assist_scale
+                    team_data['Assist_Proj'] = raw_assists * kill_scale
                     
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['wCS'] * opp_pos_cs_boost_win.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]
@@ -359,7 +353,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     assist_scale = min(1.0, kill_predictions[game] / raw_assists.sum()) if raw_assists.sum() > 0 else 1.0
                     team_data['Kill_Proj'] = raw_kills * kill_scale
                     team_data['Death_Proj'] = raw_deaths * death_scale
-                    team_data['Assist_Proj'] = raw_assists * assist_scale
+                    team_data['Assist_Proj'] = raw_assists * kill_scale
                     
                     team_data['CS_Proj'] = team_data.apply(lambda row: row['lCS'] * opp_pos_cs_boost_loss.get(row['position'], 1), axis=1)
                     team_data = team_data[['playername', 'teamname', 'position', 'Kill_Proj', 'Death_Proj', 'Assist_Proj', 'CS_Proj']]