Revert Assist Projection to Weighted Assist Percentage Calculation

Modify the assist projection method to:
- Use 'wAssist%' directly for both win and loss scenarios
- Remove the previous assist base scaling approach
- Simplify the projection calculation while maintaining core logic

app.py

@@ -365,7 +365,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['wDeath%'] * opp_pos_deaths_boost_win.get(row['position'], 1), axis=1)
                     team_data['Assist_Base'] = team_data.apply(lambda row: row['wAssist%'] * opp_pos_assists_boost_win.get(row['position'], 1), axis=1)
                     assist_scale = min(1.0, team_data['Kill_Proj'].sum() / team_data['Assist_Base'].sum()) if team_data['Assist_Base'].sum() > 0 else 1.0
-                    team_data['Assist_Proj'] = team_data['Assist_Base'] * assist_scale
+                    team_data['Assist_Proj'] = team_data['wAssist%'] * assist_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']]
                 else:
@@ -373,7 +373,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
                     team_data['Death_Proj'] = team_data.apply(lambda row: row['lDeath%'] * opp_pos_deaths_boost_loss.get(row['position'], 1), axis=1)
                     team_data['Assist_Base'] = team_data.apply(lambda row: row['lAssist%'] * opp_pos_kills_boost_loss.get(row['position'], 1), axis=1)
                     assist_scale = min(1.0, team_data['Kill_Proj'].sum() / team_data['Assist_Base'].sum()) if team_data['Assist_Base'].sum() > 0 else 1.0
-                    team_data['Assist_Proj'] = team_data['Assist_Base'] * assist_scale
+                    team_data['Assist_Proj'] = team_data['wAssist%'] * assist_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']]