Why average loss is misleading
A 4-hour BJ session at $25 a hand has $40 expected loss. The standard deviation? About $400. So 'expected loss' is buried in the noise — most sessions you'll be up $200 or down $400, both of which feel huge versus the expectation.
The percentiles
Approximate normal-distribution percentiles around expected loss EL with std dev σ:
- 5th percentile (good session): EL − 1.645σ — better than 95% of sessions
- 50th percentile (median): EL — half above, half below
- 95th percentile (bad session): EL + 1.645σ — only 5% of sessions are worse
- 99th percentile (disaster): EL + 2.326σ — once in 100 sessions or so
Game-specific variance
- Blackjack basic strategy: σ ≈ 1.14 per unit bet — moderate variance
- Counting at typical spreads: σ ≈ 1.4-1.6 — higher because of bet ramp
- Baccarat banker: σ ≈ 0.93 — almost flat
- Craps pass+max odds: σ ≈ 3.16 — very swingy because of odds bets
- Video poker (JoB 9/6): σ ≈ 4.42 — VP variance is the silent killer
- Roulette: σ = 1.0 — wild day-to-day, predictable in aggregate
Bankroll implications
Your bankroll needs to cover the 95th-percentile loss with room to spare. A $5,000 bankroll at $25 BJ play covers ~12 standard deviations — you're never busting from one session, but a 3-bad-session weekend is recoverable. Sized too tight to the average, you bust on the first bad session.