Index: bunco.py
==================================================================
--- bunco.py
+++ bunco.py
@@ -1,7 +1,8 @@
 # Test
 import csv, random, sqlite3
+from statistics import median
 
 teammate_lookup = { 0: 2, 1: 3, 2: 0, 3: 1 }
 
 fuzzydie_holder = 'x'
 
@@ -47,10 +48,19 @@
         self.personal_roll_scores.append(0)
         self.round_bunco_counts.append(0)
         self.round_wins.append(0)
         self.turn_progress = 0
         self.current_streak = 0
+    
+    def average_contrib_pct(self):
+        pcts = []
+        for n in range(len(self.round_scores)):
+            if self.round_scores[n] > 0:
+                pcts.append(self.personal_roll_scores[n] / self.round_scores[n])
+            else:
+                pcts.append(0)
+        return sum(pcts) / len(pcts)
 
     def score_last_roll(self):
         desired_num = Game.current_round() % 6
         desired_num = 6 if desired_num == 0 else desired_num
     
@@ -327,10 +337,19 @@
     def print_status(self):
         for n, table in enumerate(self.tables):
             print(f"== TABLE {n+1} == Team 1:{table.team1_score} pts, Team 2:{table.team2_score} pts")
             for player in table.players:
                 print(f"    {player.name} {player.round_scores[Game.current_round() - 1]} points, streak {player.max_streak} buncos {sum(player.round_bunco_counts)}")
+    
+    def average_total_score(self):
+        all_scores = [sum(p.round_scores) for p in self.players]
+        return sum(all_scores) / len(all_scores)
+
+    def median_total_score(self):
+        all_scores = [sum(p.round_scores) for p in self.players]
+        
+        return median(all_scores)
 
     def prep_next_round(self):
         # losers from head table move to next table
         headtable_losers = self.tables[0].losers()
         log_table_move(headtable_losers, "lost", self.tables[0], self.tables[1])