Update duplicate calculation logic in app.py

- Modified the grouping for duplicate entries from 'sorted' to 'actual_fpts' to enhance accuracy in counting duplicates based on actual fantasy points.
- Ensured consistent application of this change across relevant sections of the code.

app.py

@@ -429,7 +429,7 @@ if selected_tab == 'Data Load':
             working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
                 lambda row: ','.join(sorted(row.values)), axis=1
             )
-            working_df['dupes'] = working_df.groupby('sorted').transform('size')
+            working_df['dupes'] = working_df.groupby('actual_fpts').transform('size')
             
             # Vectorized unique calculations
             working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(
@@ -527,7 +527,7 @@ if selected_tab == 'Data Load':
             working_df['sorted'] = working_df[st.session_state['player_columns']].apply(
                 lambda row: ','.join(sorted(row.values)), axis=1
             )
-            working_df['dupes'] = working_df.groupby('sorted').transform('size')
+            working_df['dupes'] = working_df.groupby('actual_fpts').transform('size')
             
             # Vectorized unique calculations
             working_df['uniques'] = working_df.groupby('BaseName')['dupes'].transform(