Refactor sim_contest function in app.py to implement stack multipliers for projection calculations, enhancing accuracy based on team participation. Removed unused stack frequency tab from UI, streamlining the user interface and improving overall performance.

app.py

@@ -102,15 +102,18 @@ def sim_contest(Sim_size, seed_frame, maps_dict, Contest_Size, teams_playing_cou
     while SimVar <= Sim_size:
         fp_random = fp_array[np.random.choice(fp_array.shape[0], Contest_Size)]
             
-        # Calculate base projections
+        # Calculate stack multipliers first
+        stack_multiplier = np.ones(fp_random.shape[0])  # Start with no bonus
+        stack_multiplier += np.where(fp_random[:, 12] == 4, 0.05 * (teams_playing_count - 8), 0)
+        stack_multiplier += np.where(fp_random[:, 12] >= 5, 0.05 * (teams_playing_count - 12), 0)
+        
+        # Apply multipliers to both loc and scale in the normal distribution
         base_projections = np.sum(np.random.normal(
-            loc=vec_projection_map(fp_random[:, :-7]),
-            scale=vec_stdev_map(fp_random[:, :-7])),
+            loc=vec_projection_map(fp_random[:, :-7]) * stack_multiplier[:, np.newaxis],
+            scale=vec_stdev_map(fp_random[:, :-7]) * stack_multiplier[:, np.newaxis]),
         axis=1)
         
-        # Apply 10% bonus for stacks of 5 or more based on the number of teams playing
-        stack_bonus = np.where(fp_random[:, 12] >= 5, base_projections * (0.05 * (teams_playing_count - 12)), 0)
-        final_projections = base_projections + stack_bonus
+        final_projections = base_projections
 
         sample_arrays = np.c_[fp_random, final_projections]
 
@@ -610,7 +613,7 @@ with tab1:
                 
             
         with st.container():
-            tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8 = st.tabs(['Overall Exposures', 'Center Exposures', 'Wing Exposures', 'Defense Exposures', 'Flex Exposures', 'Goalie Exposures', 'Team Exposures', 'Stack Exposures'])
+            tab1, tab2, tab3, tab4, tab5, tab6, tab7 = st.tabs(['Overall Exposures', 'Center Exposures', 'Wing Exposures', 'Defense Exposures', 'Flex Exposures', 'Goalie Exposures', 'Team Exposures'])
             with tab1:
                 if 'player_freq' in st.session_state:
                     
@@ -687,15 +690,4 @@ with tab1:
                         file_name='team_freq.csv',
                         mime='text/csv',
                         key='team'
-                    )
-            with tab8:
-                if 'stack_freq' in st.session_state:
-                    
-                    st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
-                    st.download_button(
-                        label="Export Exposures",
-                        data=st.session_state.stack_freq.to_csv().encode('utf-8'),
-                        file_name='stack_freq.csv',
-                        mime='text/csv',
-                        key='team'
                     )