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Free toolMonte Carlo

Bankroll & Risk-of-Ruin Calculator

The house edge tells you the average. Variance tells you the ride. Here's the realistic range for your session — and the odds your bankroll doesn't survive it.

Session

—Expected result
—Standard deviation
—Chance of finishing ahead
—Risk of ruin (bankroll hits $0)

Simulated results (2,000 sessions)

Why short sessions feel lucky

The expected result grows in proportion to the number of bets, but the standard deviation grows only with its square root. Over a short session the swings dwarf the edge, so plenty of players finish ahead. Over thousands of bets the edge dominates and the chance of finishing ahead shrinks toward zero.

Expected result = −(bet × N × house edge) Standard deviation ≈ bet × σ × √N (σ = per-bet standard deviation, about 1.0 for even-money bets) 95% range ≈ expected ± 1.96 × standard deviation

The figures above combine an exact formula (expectation), a normal approximation (range, chance of finishing ahead) and a Monte Carlo simulation (risk of ruin and the chart). Read Bankroll Math & Risk of Ruin for the full explanation.

The blackjack model is a simplified outcome distribution calibrated to a ~0.5% edge; slot results use our simulator's medium-volatility pay table.