理解撲克 Variance:SD、CI 與 Sample Size

2026年4月17日

理解撲克 Variance:SD、CI 與 Sample Size

Tracker 18,000 hand +4.2 bb/100——skill 還是 noise?SD、95% CI、sample size formula 與 Monte Carlo simulation。Measurement science,非 tilt advice。

  • variance
  • standard deviation
  • confidence interval
  • sample size
  • win rate
  • bb/100
  • Monte Carlo simulation
  • poker statistics
  • cash game
  • expected value

Tracker 顯示 +4.2 bb/10018,000 hand $1/$2。18k hand 對 poker statistics 是 short sample。Screen 數字是 measurement,非 skill proof。Variance 是 measurement 與 true long-run win rate 的 gap。

Core Terms

Term Poker meaning
True win rate (μ) long-run bb/100
Observed WR tracker bb/100 over sample
SD (σ) swing width per 100 hands
Sample size (N) hands logged
CI range likely containing μ

Typical SD

Format σ (bb/100)
6-max 85–110
LAG 6-max 100–120

Total SD (bb) = σ × √(N/100)

95% CI

$\text{95% CI} = \text{WR} \pm 1.96 \times \frac{\sigma}{\sqrt{N/100}}$

WR = +5,σ = 90,N = 50,000 → CI −2.9 to +12.9。Halve error bar 需 4× hands

Sample Size

σ=90,±5 bb/100~125,000 hands2 bb/100 grinder 需 ~780,000 hands 才使 95% CI lower bound 轉正。

P(Losing) While Winning

WR = +5,σ = 90,N = 50,000P(loss) ≈ 11%

Worked Audit

N=35,000,WR=+3.8,σ=95 → 95% CI −6.2 to +13.8 bb/100。Compatible with breakeven or strong winner。

總結

Variance 是 win-rate measurement 的 error bar width。「Enough data」常為 100k–500k hands