![]() ![]() As one would suspect it's an almost normal distribution. ![]() I got consistent results out of this half-baked simulator: about 55% of push-22 happened when the count was 0, about 30% when the count was either 1 or -1. And I ran this whole analysis 100,000 times to make sure there's no weird state leftover. ![]() At the end of the million rounds, the array was analyzed in pandas. Whenever the dealer got 22, the count was pushed to an array. 2 players using the strategy described above Basically I just wanted to see what's the status of aces vs fives whenever the dealer hits 22. I implemented the strategy outlined by the Wizard for Free Bet, but only the real money part, with no bankroll limit. It's not complete yet so don't use this to gamble your own money, but I did get interesting results. I was curious about this problem so I decided to do an analysis using Python (pandas, Jupyter, etc.). ![]()
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