diff --git a/data_filters.py b/data_filters.py
index 2f13b93..ff1e195 100644
--- a/data_filters.py
+++ b/data_filters.py
@@ -29,6 +29,13 @@ def last5Matches(season, teamA, data, df):
 
     return last_before_date
 
+def last5MatchesBtwTeams(teamA, teamB, data, df):
+    subset = df[(((df['home_team'] == teamA) | (df['away_team'] == teamA)) & ((df['home_team'] == teamB) | (df['away_team'] == teamB)))]
+    before_given_date = subset[pd.to_datetime(subset['date']) < pd.to_datetime(data)]
+    before_given_date = before_given_date.sort_values(by='date', ascending=False)
+    last_before_date = before_given_date.head(5)
+
+    return last_before_date
 
 def seasonMatches(season, teamA, data, df):
     # Wybierz rekordy dla danej pary drużyn i sezonu
diff --git a/rules.py b/rules.py
index 000489f..bc448a4 100644
--- a/rules.py
+++ b/rules.py
@@ -104,13 +104,13 @@ def categorize_fuzzy_shots(shots_overall, shots_on_target):
 
     "IF (shots_overall IS high ) AND (shots_on_target IS low) THEN (quality_of_shots IS low)",
 
-    "IF (shots_overall IS average) AND (possession IS high) THEN (quality_of_shots IS high)",
+    "IF (shots_overall IS average) AND (shots_on_target IS high) THEN (quality_of_shots IS high)",
 
-    "IF (passes IS high) AND (possession IS average) THEN (quality_of_shots IS high)",
+    "IF (shots_overall IS high) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
 
-    "IF (passes IS low) AND (possession IS average) THEN (quality_of_shots IS low)",
+    "IF (shots_overall IS low) AND (shots_on_target IS average) THEN (quality_of_shots IS average)",
 
-    "IF (passes IS average) AND (possession IS low) THEN (quality_of_shots IS average)"
+    "IF (shots_overall IS average) AND (shots_on_target IS low) THEN (quality_of_shots IS low)"
 
     ])