Refactor DK and FD LevX calculations in app.py to ensure rank calculations are explicitly cast to float, improving accuracy in scoring percentage metrics.

app.py

@@ -97,8 +97,8 @@ def init_baselines():
     scoring_percentages = scoring_percentages.merge(fd_team_ownership, left_on='Names', right_on='Team', how='left')
     scoring_percentages.rename(columns={'Own%': 'FD Own%'}, inplace=True)
     scoring_percentages.drop('Team', axis=1, inplace=True)
-    scoring_percentages['DK LevX'] = scoring_percentages['Top Score'].rank(pct=True) - scoring_percentages['DK Own%'].rank(pct=True)
-    scoring_percentages['FD LevX'] = scoring_percentages['Top Score'].rank(pct=True) - scoring_percentages['FD Own%'].rank(pct=True)
+    scoring_percentages['DK LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['DK Own%'].rank(pct=True).astype(float)
+    scoring_percentages['FD LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
     
     return roo_data, sd_roo_data, scoring_percentages, dk_roo, fd_roo