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Sample Size

Number of hands or tournaments — determines how reliable your win rate is.

What is Sample Size in poker?

Sample SizeNumber of hands or tournaments — determines how reliable your win rate is. Sample size is the number of hands (for cash) or tournaments (for MTTs) over which a metric is measured. Larger samples produce more reliable win-rate estimates. Common thresholds: 30,000 hands cash is moderate confidence; 100,000+ is high confidence; 1,000+ tournaments is moderate confidence for ROI. Confidence intervals narrow with the square root of sample size — 4× the sample halves the interval.

Formula

Standard error of win-rate estimate ≈ SD / sqrt(N/100), in BB/100, where N is hands.

Example

A 5 BB/100 realized win rate has a 95% confidence interval of roughly ±12 BB at 10,000 hands, ±4 BB at 100,000 hands, and ±1.2 BB at 1,000,000 hands. Sample size, not the realized number, determines confidence.

How StackEdge uses Sample Size

StackEdge tracks Sample Size automatically from your session log and surfaces it across the analytics dashboard, alongside related metrics — broken down by game type, venue, stakes, day of week, and time of day. See the full analytics suite →

Related terms

  • BB/100Big blinds won per 100 hands — the standard cash-game win-rate metric.
  • VarianceThe statistical spread of your poker results around your expected win rate.
  • Win RateLong-term profit rate, in BB/100 for cash or ROI for tournaments.
  • ROIReturn on investment — average profit per dollar of tournament buy-in.
Sample Size (Poker Glossary) — Definition + Formula | StackEdge