Update match_parser.py

match_parser.py

@@ -219,6 +219,19 @@ def get_biggest_upsets(df: pd.DataFrame, top_n: int = 5) -> pd.DataFrame:
     return df.loc[df.result == 'Won'].sort_values("rating_difference", ascending=False).head(top_n)
 
 
+def get_worst_recent_losses(df: pd.DataFrame,
+                            is_tournament: bool,
+                            top_k_losses: int = 5,
+                            top_n_comps: int = 5) -> pd.DataFrame:
+    """Get the top-k most recent worst losses from the top-n most recent competitions."""
+    x_key_name = "tournament_end_date" if is_tournament else "event_date"
+    most_recent_competition_dates =df.groupby(x_key_name).first().reset_index().nlargest(top_n_comps,
+                                                                                         columns=x_key_name)[x_key_name]
+    df_recent = df.loc[df[x_key_name].isin(most_recent_competition_dates)]
+    df_recent['rating_difference'] = df_recent['opponent_rating'] - df_recent['rating']
+    return df_recent.loc[df_recent.result == 'Lost'].sort_values("rating_difference", ascending=True).head(top_k_losses)
+
+
 def get_best_competitions(df: pd.DataFrame, is_tournament: bool, top_n: int = 5) -> pd.DataFrame:
     # First add pre-competition ratings
     x_key_name = "tournament_end_date" if is_tournament else "event_date"