diff --git a/funcs/games/fourInARow.py b/funcs/games/fourInARow.py
index 95ff498..2d933c6 100644
--- a/funcs/games/fourInARow.py
+++ b/funcs/games/fourInARow.py
@@ -7,10 +7,10 @@ from . import fourInARowDraw
 from funcs import logThis
 
 AIScores = {
-    "middle": 1,
-    "two in a row": 5,
+    "middle": 3,
+    "two in a row": 10,
     "three in a row": 50,
-    "enemy two in a row": -25,
+    "enemy two in a row": -35,
     "enemy three in a row": -200,
     "enemy win": -10000,
     "win": 420,
@@ -222,7 +222,7 @@ def fourInARowAI(channel):
         testBoard = copy.deepcopy(board)
         testBoard = placeOnBoard(testBoard,player,column)
         if testBoard != None:
-            scores[column] = minimax(testBoard,4,player%2+1,player,False)
+            scores[column] = minimax(testBoard,5,player%2+1,player,-math.inf,math.inf,False)
         logThis("Best score for column "+str(column)+" is "+str(scores[column]))
 
     possibleScores = scores.copy()
@@ -295,7 +295,7 @@ def evaluateWindow(window,player,otherPlayer):
     else:
         return 0
 
-def minimax(board, depth, player , originalPlayer, maximizingPlayer):
+def minimax(board, depth, player , originalPlayer, alpha, beta, maximizingPlayer):
     terminal = ((isWon(board)[0] != 0) or (0 not in board[0]))
     if depth == 0 or terminal:
         points = AICalcPoints(board,originalPlayer)
@@ -306,7 +306,11 @@ def minimax(board, depth, player , originalPlayer, maximizingPlayer):
             testBoard = copy.deepcopy(board)
             testBoard = placeOnBoard(testBoard,player,column)
             if testBoard != None:
-                value = max(value,minimax(testBoard,depth-1,player%2+1,originalPlayer,False))
+                evaluation = minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,False)
+                value = max(value,evaluation)
+                alpha = max(alpha,evaluation)
+                if beta <= alpha:
+                    break
         return value
     else:
         value = math.inf
@@ -314,6 +318,10 @@ def minimax(board, depth, player , originalPlayer, maximizingPlayer):
             testBoard = copy.deepcopy(board)
             testBoard = placeOnBoard(testBoard,player,column)
             if testBoard != None:
-                value = min(value,minimax(testBoard,depth-1,player%2+1,originalPlayer,True))
+                evaluation = minimax(testBoard,depth-1,player%2+1,originalPlayer,alpha,beta,True)
+                value = min(value,evaluation)
+                beta = min(beta,evaluation)
+                if beta <= alpha:
+                    break
         return value