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Risk Lab
Bankroll Simulator
Play the same bet thousands of times and watch what actually happens to a bankroll. The house edge is small per round — but it compounds. This Monte-Carlo runs entirely in your browser.
Model: the same independent bet repeated at the stated edge and payout. Win probability p = (1 − edge) ÷ (payout + 1). Higher payouts mean higher variance — bigger swings up and faster ruin. Pseudo-random, so numbers shift slightly each run.
Risk of ruin
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Reached goal
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Median end
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Average end
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Bankroll outcomes over the session
10–90% range median goal
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Across every setting, the average ending bankroll lands below where you started — that gap is the house edge doing its work. Aiming at a cash-out goal doesn't beat it: reaching for more just raises the chance of losing it all first. A "risk of ruin" that looks small still means real people in that slice lost everything.
Walked away between
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Median worst drawdown
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Best 1% ended near
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Total wagered (median)
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Education only, not advice or a prediction of any real session. The math is deterministic in expectation (a negative edge), but any single run is dominated by luck. Changing the bet size or goal changes your variance and risk of ruin — it never changes the edge. See our methodology and responsible-gambling resources.