Model how a finite blackjack bankroll can reach zero under explicit assumptions. This simulator separates a planned-horizon depletion estimate from eventual risk of ruin; they answer different questions.
Probability model
Simulate bankroll depletion
Amounts are currency-neutral. Use one currency throughout.
Model output
Bankroll risk estimate
Seeded estimate
Bands describe the modeled finite-horizon probability; none means “safe.”
Modeled bankroll survival by horizon
Analytical Brownian survival approximation; the table is the accessible alternative to the bars.
| Hands | Survival approximation |
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Unit-size comparison
Bankroll, edge, per-hand SD in units and horizon stay constant. Only the money value of one unit changes.
| Scenario | Unit | Bankroll units | Finite-horizon approximation | Eventual approximation |
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Reproducible calculation summary
Run the simulation to generate a summary.
What this model calculates
Fixed-unit drift μ = player edge ÷ 100, in units per hand
Fixed-unit volatility σ = entered SD, in units per √hand
Expected result = μ × hands
Horizon SD = σ × √hands
Positive-drift eventual ruin ≈ exp(−2μB ÷ σ²)
Zero/negative-drift eventual ruin = 100% with unlimited continued play
The finite-horizon estimate uses arithmetic Brownian motion beginning at bankroll B. Each trial samples the horizon endpoint from a normal distribution. For a positive endpoint, a Brownian-bridge crossing test samples whether the continuous path touched zero earlier. A Wilson 95% interval quantifies only Monte Carlo sampling uncertainty.
Assumptions and limitations
- Approximation: real blackjack changes in discrete hands; this model uses a continuous diffusion path and can cross zero between nominal hand times.
- Hand results are represented by constant drift and variance. Serial dependence, deck composition, penetration, rules, errors, wonging, expenses, table limits and bankroll withdrawals/replenishment are not modeled.
- The 1.15-unit SD default is a rounded conventional teaching value. Representative simulated blackjack variance is near 1.30 units² per hand, whose square root is about 1.14; use matching game-specific data when available.
- A true card-counting betting spread does not determine EV and SD by itself. Variable-bet mode therefore accepts independently calculated expected profit and SD per 100 hands.
- The eventual formula is a Brownian infinite-horizon approximation. For positive drift it assumes constant parameters and unlimited play; for zero or negative drift it is 100% under those assumptions.
- The confidence interval reflects finite trial count, not uncertainty in your edge, SD or the Brownian model.
- No output promises profit, success, safety or a bankroll that will last.
Finite horizon is not eventual ruin
“Touched zero within 10,000 hands” is a bounded-time question. “Ever reaches zero if play continues” is unlimited. With zero or negative expectation, the second answer is 100% for a finite bankroll even when the selected-horizon estimate is much smaller.
Use the right tool for the question
This simulator estimates probability under a statistical model. The Bankroll & Session Planner handles budgets, limits and planned exposure; it does not estimate risk of ruin. For counting play, obtain EV and SD from a game-specific simulator before using variable-bet mode; a spread alone is insufficient. See the card-counting guide for the separate strategy context.
Sources checked 30 August 2026
- Wizard of Odds: simulated variance and covariance for representative blackjack rules
- Fields Institute course notes: first-passage time for Brownian motion with drift
- NIST: binomial confidence limits and boundary limitations of symmetric normal intervals
- NIST: Wilson binomial-proportion confidence interval method
