An example could be playing cards. Each card is represented as a suit or value (1,2,3,4,...) and a deck is collection of cards. A player class can keep track of the cards and score. You could analyze or run the simulation multiple times to see which player wins the most or if a player is more likely to pick up a certain suit.

dice_stats.py

@@ -18,16 +18,46 @@ class FiveDice:
             if face != 1:
                 return False
         return True
+    
+    def face_counts(self): 
+        counts = {}
+        for face in self.faces():
+            if face in counts:
+                counts[face] += 1
+            else:
+                counts[face] = 1
+        return counts
+
+    def is_three_of_a_kind(self):
+        for count in self.face_counts().values():
+            if count >= 3:
+                return True
+        return False
+    
+    def is_four_of_a_kind(self):
+        for count in self.face_counts().values():
+            if count >= 4:
+                return True
+        return False
 
 dice = FiveDice()
-successes = 0
+all_ones_count = 0
+three_kind_count = 0
+four_kind_count = 0
 trials = 1000000
 for trial in tqdm(range(trials)):
     dice.roll()
     if dice.all_ones():
-        successes += 1
+        all_ones_count += 1
+    if dice.is_three_of_a_kind():
+        three_kind_count += 1
+    if dice.is_four_of_a_kind():
+        four_kind_count += 1
+
+print("all ones:", all_ones_count/trials)
+print("Three of a kind:", three_kind_count / trials)
+print("Four of a kind:", four_kind_count / trials)
 
-print(successes/trials)