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diff --git a/__pycache__/helper_functions.cpython-310.pyc b/__pycache__/helper_functions.cpython-310.pyc
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diff --git a/contenders.py b/contenders.py
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+++ b/contenders.py
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+import random
+
+random.seed()
+
+def my_winning_function(game_data,player_nr):
+    #game_data is the array of games so far, either empty(first round) or formatted like this: player_nr [[False, False],[False, False]] (2 rounds of only defections)
+    #player_nr is this players index, so whether they are the first(0) or the second(1) value in a round
+    opponent_nr=1-player_nr
+    #for ease of use this is index of the opponents value
+    choice=False
+    #this function should return either true(coorperate) or false(defect)
+
+    #your cool code goes here
+    if len(game_data)>0:
+        #what to do if this is NOT the first round
+        choice=not game_data[len(game_data)-1][opponent_nr]
+        #this example always does the opposite of what the opponent did last round
+    else:
+        #what to do in the first round
+        choice=True
+        #this example starts with a cooperation
+    
+    #your cool code ended here
+    return choice
+
+def random_positive_leaner(game_data,player_nr):
+    #game_data is the array of games so far, either empty(first round) or formatted like this: player_nr [[False, False],[False, False]] (2 rounds of only defections)
+    #player_nr is this players index, so whether they are the first(0) or the second(1) value in a round
+    opponent_nr=1-player_nr
+    #for ease of use this is index of the opponents value
+    choice=False
+    #this function should return either true(coorperate) or false(defect)
+
+    #your cool code goes here
+    if random.randint(0,10)<6:
+        choice=True
+    #your cool code ended here
+    return choice
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diff --git a/helper_functions.py b/helper_functions.py
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--- /dev/null
+++ b/helper_functions.py
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+def analyze_results(game_data):
+    defect_str="X "
+    coorperate_str="O "
+    spacer_str="___"*len(game_data)
+    lines=["These are the results",spacer_str]
+    str1="Player 1: "
+    str2="Player 2: "
+    p_1_points=0
+    p_2_points=0
+    for i in game_data:
+        #visualize
+        if i[0]:
+            str1+=coorperate_str
+        elif not i[0]:
+            str1+=defect_str
+        if i[1]:
+            str2+=coorperate_str
+        elif not i[1]:
+            str2+=defect_str
+        #award points
+        if i[0] and i[1]:
+            p_1_points+=3
+            p_2_points+=3
+        elif i[0] and i[1]==False:
+            p_1_points+=5
+            p_2_points+=0
+        elif i[1] and i[0]==False:
+            p_1_points+=0
+            p_2_points+=5
+        elif i[0]==False and i[1]==False:
+            p_1_points+=1
+            p_2_points+=1
+    lines.append(str1+"  Points:"+str(p_1_points))
+    lines.append(str2+"  Points:"+str(p_2_points))
+    lines.append(spacer_str)
+    #print the results
+    for i in lines:
+        print(i)
+
+def play_game(games_array,func1,func2,how_many_times):
+    for i in range(how_many_times): 
+        choice_1=func1(games_array,0)
+        choice_2=func2(games_array,1)
+        games_array.append([choice_1,choice_2])
+    
+def random_choice(game_data,player_nr):
+    ret=True
+    return ret
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diff --git a/main.py b/main.py
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--- /dev/null
+++ b/main.py
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+
+#basic setup
+#The prisoner's dilemma is a game theory thought 
+#experiment that involves two rational agents, each 
+#of whom can COORPERATE for mutual benefit or betray 
+#their partner ("defect") for individual reward.
+
+#imports
+import helper_functions
+import contenders
+#vars
+games=[]
+#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+#                      Put YOUR function down below
+#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+
+helper_functions.play_game( games,contenders.random_positive_leaner ,         contenders.my_winning_function            ,30)
+helper_functions.analyze_results(games)