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Analyse de jeu● Intermédiaire10 min de lecture

Sample size and stat reliability: When a stat becomes meaningful

Small samples lie. Learn when each stat becomes reliable and how to avoid trusting noise.

Sample size determines whether your statistics are meaningful or noise. Knowing when a stat is reliable prevents costly mistakes.

What Is Sample Size?

Sample size is the number of hands or situations you’ve observed. The more data, the more reliable the stat.

When Stats Become Reliable

VPIP/PFR: ~1,000 hands (basic tendencies emerge)

3-Bet %: ~3,000-5,000 hands (less frequent action needs more data)

Fold to C-Bet: ~500-1,000 hands (fairly frequent situation)

Win rate: ~50,000+ hands (high variance requires massive samples)

The Danger of Small Samples

With 200 hands on an opponent, a 35% VPIP could easily be a 22% VPIP player running hot. Don’t adjust your strategy based on unreliable data.

Practical Guidelines

Against unknown opponents: use population tendencies, not individual stats

After 500 hands: start using VPIP/PFR to categorize (fish vs reg)

After 2,000+ hands: trust most stats and make exploitative adjustments

Sample Size and Your Own Stats

Your own win rate needs at least 50,000 hands to be meaningful. Don’t celebrate or despair based on 5,000 hands.

Sample SizeLadder200 hands(noise)1,000 hands(trends)5,000 hands(reliable)50,000 hands(win rate)Sample Size — Ladder
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À retenir

  • 1VPIP/PFR: reliable at 1,000 hands. Win rate: needs 50,000+.
  • 2With 200 hands, any stat could be wildly inaccurate. Don’t overreact.
  • 3Against unknowns: use population tendencies. After 2,000 hands: exploit.
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