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How many hands is enough?

Poker statistics settle far more slowly than people assume, and they do not settle at the same speed as each other.

The filter changes how often each spot comes up and how often players take it, so chances, margin and hands to quote move with it. The band each statistic is judged against, the same one behind the confidence bar on every profile, does not.

What your sample is worth

Drag to your own hand count.Chances: how often this pool offers the spot (VPIP 98 per 100 hands here, Fold vs 3Bet about 2.1).Margin: how far the figure can sit from the player’s true rate, 19 times in 20.Confidence: the chance of landing inside the statistic’s band. The profile bar fills to it.Hands to quote it: hands until three in four.

10,000 hands
StatChancesin 10,000 handsMargin95%, in pointsConfidenceof landing inside its bandAt this sampleHands to quote ituntil three in four
VPIP9,769±0.9100%quotable1,290
PFR9,769±0.796%quotable3,158
Limp9,769±0.5100%quotable649
3Bet3,560±0.879%solid8,610
Fold vs 3Bet210±6.659%a direction19,942
4Bet210±4.236%not evidence59,068
Steal2,212±1.989%solid5,311
Fold vs Steal860±3.272%a direction11,356
Cold Call1,289±2.091%quotable4,677
CBet flop663±3.764%a direction15,685
Fold vs CBet481±4.456%a direction22,367
WTSD2,736±1.863%a direction16,733
W$SD907±3.263%a direction16,167
WWSF2,736±1.860%a direction18,381
AFq5,522±1.289%solid5,145

Is this gap real?

The other way round: not how long a statistic takes, but whether the difference in front of you survives the sample it was measured on. This is the test the radar’s bands and the verdict panel already apply — here you can move it.

5,000 hands
4 points
Limp
±0.8proven
PFR
±1.0proven
3Bet
±1.1proven
VPIP
±1.3proven
AFq
±1.7proven
WTSD
±2.5proven
WWSF
±2.6proven
Steal
±2.6proven
Cold Call
±2.9proven
Fold vs Steal
±4.5inside the noise
W$SD
±4.6inside the noise
CBet flop
±5.3inside the noise
4Bet
±6.1inside the noise
Fold vs CBet
±6.3inside the noise
Fold vs 3Bet
±9.2inside the noise

Where these come from

Margins are the standard formula for a percentage over n chances. It was checked on real players by splitting their hands into two interleaved halves, and the halves agree as closely as the formula predicts.

Methodology has the full argument. What a value is worth covers the same fifteen statistics.