Poker Bankroll Ruin Probability Calculation and Risk Management Model
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This article introduces the calculation method of poker bankroll ruin probability and the bankroll management model. Through the Kelly criterion and risk rate formula, it helps players quantify bankruptcy risk and formulate reasonable bankroll strategies. Includes specific numerical examples, applicable to cash game and tournament players.
Tool Purpose
The Poker Bankroll Ruin Probability Calculator is a core tool for bankroll management, used to assess the likelihood of a player going broke given their profitability and variance. Through calculation, players can determine the minimum bankroll requirement, adjust game stakes, or optimize betting strategies to ensure long-term survival.
Formula Principle
The commonly used ruin probability model is based on the normal distribution assumption, with the formula:
$$ \text{RoR} = e^{-2 \cdot B \cdot \text{EV} / \text{SD}^2} $$
Where:
- RoR (Risk of Ruin): Probability of ruin (0 to 1)
- B: Current bankroll (in big blinds bb)
- EV: Expected profit per 100 hands (in bb/100)
- SD: Standard deviation per 100 hands (in bb/100)
This formula assumes that profit follows a random walk and that EV and SD are constant. For more precise calculations, Poisson distribution or Monte Carlo simulation can be used, but this formula provides a reasonable estimate.
How to Use
- Estimate EV: Use historical data or HUD statistics to calculate net profit per 100 hands (bb). For example, if profit over 6 months is 5000bb and total hands are 200,000, then EV = 5000 ÷ 2000 = 2.5 bb/100.
- Calculate SD: Standard deviation measures variance per 100 hands. Use Excel's STDEV function on per-100-hand profit samples. For cash game players, SD typically ranges between 60-100 bb/100.
- Set Target RoR: Generally recommend RoR ≤ 5% (aggressive) or ≤ 1% (conservative).
- Solve for B: Given EV, SD, and target RoR, the required bankroll can be derived:
$$ B = -\frac{\text{SD}^2}{2 \cdot \text{EV}} \cdot \ln(\text{RoR}) $$
Practical Example
Problem: A cash game player has EV = 2.5 bb/100, SD = 80 bb/100, and wants a ruin probability below 1%. What bankroll is needed?
Calculation:
- Target RoR = 0.01
- ln(0.01) ≈ -4.605
- B = - (80^2) / (2 * 2.5) * (-4.605) = -6400 / 5 * (-4.605) = -1280 * (-4.605) = 5894.4 bb
- Assuming buy-in is 100bb, this equates to about 59 buy-ins, i.e., 5900 bb.
Verification: Plugging B=5900 back into the original formula, RoR = e^(-2 * 5900 * 2.5 / 6400) ≈ e^(-4.609) ≈ 0.01, matching the expectation.
Frequently Asked Questions
- Q: How to estimate EV and SD? A: EV can be obtained directly from tracking software (e.g., Hold'em Manager). Without data, approximate values: small stakes players EV ≈ 5-10 bb/100, high stakes ≈ 1-3 bb/100. For SD, use sample standard deviation or assume a conservative 80 bb/100.
- Q: What if EV is negative? A: The formula does not apply because ruin probability is 100% (unless you get lucky). First, improve your skill to make EV positive.
- Q: Are the formula assumptions reasonable? A: The assumption of independent and identically distributed profits may not hold in reality (e.g., downswings), but the formula still provides a useful reference. Tournament players should consider nonlinear prize structures and use ICM and tournament bankroll models instead.
Further Learning
- Book: The Mathematics of Poker (Bill Chen)
- Article: "Risk of Ruin for Poker Players" (searchable)
- Tool: Online ruin calculators (e.g., variations on pokerdope.com)
Note: The diagram shows the relationship between bankroll and ruin probability for different EV values.