Refactor percentile finish calculation in app.py

- Removed the offset of 0.01 from the 'percentile_finish' calculation to ensure accurate percentile rankings without artificial differentiation for identical ranks.
- This change enhances the integrity of the percentile data, improving the overall analysis of player performance metrics.

app.py

@@ -148,7 +148,7 @@ with tab2:
             )
             working_df['dupes'] = working_df.groupby('sorted').transform('size')
             working_df = working_df.reset_index()
-            working_df['percentile_finish'] = working_df['index'].rank(pct=True) + 0.01
+            working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df = working_df.drop(['sorted', 'index'], axis=1)
         elif type_var == 'Showdown':
             working_df['stack'] = working_df.apply(
@@ -186,7 +186,7 @@ with tab2:
             )
             working_df['dupes'] = working_df.groupby('sorted').transform('size')
             working_df = working_df.reset_index()
-            working_df['percentile_finish'] = working_df['index'].rank(pct=True) + 0.01
+            working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df = working_df.drop(['sorted', 'index'], axis=1)
         
         # Initialize pagination in session state if not exists