Betting System Simulator
See why systems like the Martingale fail. Simulate thousands of sessions and watch the house edge and table limits do their work.
Set Up the Simulation
Why Betting Systems Fail
Staking systems like the Martingale promise to turn a losing game into a winning one by changing your bet size. This simulator runs thousands of sessions so you can see what actually happens over many bets, rather than the handful of wins that make a system look good.
The Martingale Trap
Doubling after every loss recovers your losses, right up until a long losing streak sends your next bet past the table limit or past your bankroll. Then you can't double any more, and you lose everything at once. The rare wipeout cancels out all the small wins.
The Real Lesson
No staking pattern changes the house edge. If each bet has a negative expectation, more bets means more expected loss, whatever order you size them in. Systems change the shape of your results, not the math underneath. This tool is here to show that, not to help you beat the house.
Things Worth Testing Here
The simulator is more useful if you change the inputs and watch what moves. A few experiments make the underlying math obvious in a way that reading about it doesn't.
Four Experiments
Raise the number of bets per session and watch the bust rate climb, because a long enough run always finds the losing streak that breaks the pattern. Raise the table limit and fewer sessions go bust, but the ones that do lose far more, so the total damage barely improves. Set the win chance to exactly 50% and the system still fails over time once the table limit binds. Then switch to flat betting at the same win chance and compare: flat staking loses more steadily, while doubling hides losses for a while and then delivers them all at once.
The Conclusion the Numbers Force
The only input that changes whether you win over time is the win chance itself. Stake sizing changes the shape of the ride, not the destination. That's the whole argument against staking systems, and it holds for every variation of them.