In poker, the longβrun winrate (ΞΌ) is expressed in bigβblinds per 100 hands. Over a finite sample, the actual result deviates from ΞΌ due to random variance, which is quantified by the standard deviation (Ο) of the winrate.
The magnitude of a swing can be estimated with a confidenceβinterval approach. By selecting a zβscore that reflects the desired confidence level (e.g., 1.645 for 95β―% oneβsided), we can predict how far the observed result is likely to fall below the expected value.
Because variance grows with the squareβroot of the number of hands (N), larger samples reduce the relative impact of swings, but the absolute swing size still increases with βN. This relationship is crucial for bankroll management and for setting realistic expectations during downβswings.
What is long-run winrate in poker?
How do I calculate the standard deviation of winrate?
What is a z-score in this context?
How do I interpret the confidence interval for poker variance?
What does a higher z-score mean in terms of confidence?
Can this calculator be used for other games besides poker?
How often should I recalculate my poker variance swings?
Results are for informational purposes only and do not constitute professional advice.
