Update sport selection logic in app.py to include 'WNBA' and 'NBA' in all_column_stack_sports, enhancing flexibility in stacking options for users.

app.py

@@ -30,6 +30,7 @@ from global_func.reassess_edge import reassess_edge
 
 freq_format = {'Finish_percentile': '{:.2%}', 'Lineup Edge': '{:.2%}', 'Win%': '{:.2%}'}
 stacking_sports = ['MLB', 'NHL', 'NFL', 'LOL', 'NCAAF']
+all_column_stack_sports = ['LOL', 'NCAAF', 'WNBA', 'NBA', 'CS2']
 player_wrong_names_mlb = ['Enrique Hernandez', 'Joseph Cantillo', 'Mike Soroka', 'Jakob Bauers', 'Temi Fágbénlé']
 player_right_names_mlb = ['Kike Hernandez', 'Joey Cantillo', 'Michael Soroka', 'Jake Bauers', 'Temi Fagbenle']
 
@@ -392,7 +393,7 @@ with tab1:
 
             if sport_var in stacking_sports:
                 team_dict = dict(zip(st.session_state['projections_df']['player_names'], st.session_state['projections_df']['team']))
-                if sport_var == 'LOL':
+                if sport_var in all_column_stack_sports:
                     st.session_state['portfolio']['Stack'] = st.session_state['portfolio'].apply(
                         lambda row: Counter(
                             team_dict.get(player, '') for player in row