Poker variance — how many hands until you're actually winning?
Variance is the single most under-appreciated number in poker. A skilled 5bb/100 winner has a 15% chance of being down after 10,000 hands of cash. A losing 1bb/100 player has a 25% chance of being up after the same span. The math doesn't care that you "feel" you're a winner — it cares about sample size. Drag the sliders below to see 20 sample lifetime paths at your stated win rate, and find out how many hands it actually takes to know.
The live simulator
Each path below is one possible 1× lifetime at your stated win rate and standard deviation. The shaded gold band is the 95% confidence interval — 19 out of 20 lifetimes will land somewhere inside it. The dashed gold line is the expected (mean) result. Sessions that finished above water are green; below water are red. Click "Re-roll" to see new sample paths at the same settings.
Variance Simulator
Live · 20 sample pathsWhy the math is brutal in the short term
The standard deviation of total profit over N hands scales as the square root of N. Your expected profit scales linearly with N. That difference — square-root vs. linear — is the entire reason poker is variance-heavy in the short term and skill-dominant in the long term.
Total expected = N × winrate / 100 (grows linearly). Total std dev = stddev × √(N / 100) (grows by the square root).
Plug in some numbers. A 5bb/100 winner over 10,000 hands has +500bb expected, with a standard deviation of 100 × √100 = 1000bb. The 95% confidence band is roughly ±1.96 × 1000 = ±1960bb. That means anywhere from -1,460bb to +2,460bb is a "normal" 10,000-hand result. A 60-buy-in stretch underwater is well inside one standard deviation.
Now run 100,000 hands at the same rate. Expected is +5,000bb. Std dev grows to 100 × √1000 = 3162bb. 95% band is ±6200bb. The band is wider in absolute terms — but the band as a fraction of expected has shrunk from 1960/500 = 4× to 6200/5000 = 1.24×. That's why long-term sample sizes are everything.
How many hands until your win rate is real?
The 95% confidence interval around your observed win rate is ±1.96 × stddev / √(N/100) in bb/100 units. Solving for the sample size required to nail down your win rate to within ±X bb/100:
(1.96 × stddev / X)² × 100. At stddev 100 and X = 1: about 38,000 hands. At X = 2: about 9,600 hands. At X = 0.5: about 153,000 hands.
These are the numbers that determine whether you can trust your own win rate:
| Confidence interval | Hands needed (std dev 100) | Hands needed (std dev 150 — tournaments) |
|---|---|---|
| ±5 bb/100 (very loose) | 1,540 | 3,460 |
| ±3 bb/100 (loose) | 4,270 | 9,610 |
| ±2 bb/100 (moderate) | 9,610 | 21,620 |
| ±1 bb/100 (tight) | 38,420 | 86,440 |
| ±0.5 bb/100 (publishing-grade) | 153,660 | 345,750 |
The takeaway: if you've played 5,000 hands and your "win rate" is +8 bb/100, the truth is "your win rate is somewhere between -2 and +18 with 95% confidence." That includes "you're a losing player" inside the confidence band. Most "I'm crushing this stake" claims at the home game level are statistical noise.
The downswing math everyone should know
A downswing is the gap between your peak bankroll and a later trough. Over a long enough sample, every winning player will hit downswings. Here's what's normal for a 5bb/100 winner at stddev 100:
- Worst expected drawdown over 10,000 hands: about 150 big blinds (1.5 buy-ins).
- Worst expected drawdown over 100,000 hands: about 480 big blinds (~5 buy-ins).
- Worst expected drawdown over 1,000,000 hands: about 1,500 big blinds (15 buy-ins).
The wider your sample, the deeper the worst drawdown — even for the same player. This is why "30-buy-in" bankrolls are conservative-but-honest for cash play, not paranoia. The math says you will, statistically, see a 15+ buy-in downswing if you play long enough.
Variance differs by format — a lot
| Format | Typical std dev (bb/100) | Hands to ±1bb/100 |
|---|---|---|
| Full-ring NL cash (9-handed) | 75 | 21,600 |
| 6-max NL cash | 100 | 38,400 |
| Heads-up NL cash | 130 | 64,900 |
| Sit-and-go tournaments | 125 | 60,000 |
| Multi-table tournaments | 175+ | ~117,500 |
| PLO (cash) | 160 | 98,300 |
PLO has roughly 2.5× the variance of full-ring NL. Tournaments have 4-5×. Heads-up sits in between. If your "study group" includes someone whose PLO win rate "stabilized" at 8bb/100 over 30,000 hands, they're statistically a coin-flip away from being a 0bb/100 player. The variance is that big.
What this means for your bankroll
The standard guidance — keep 30 buy-ins for NL cash, 100 buy-ins for MTTs — comes directly from this variance math. The number isn't arbitrary; it's the bankroll size below which the risk of ruin (going broke at this stake) exceeds about 5% for a player at typical win rates.
For exact numbers given your specific win rate and stake, use the bankroll calculator. It computes the bankroll required to keep your risk of ruin below your stated tolerance.
Compute your exact bankroll requirements
The dedicated bankroll calculator computes minimum bankroll given your win rate, standard deviation, and risk-of-ruin tolerance. For pre-game equity reads, use the equity calculator.
Bankroll calculator → Equity calculator → Rule of 2 and 4Where to go from here
- Pot odds explained — the math that pays for variance
- The Rule of 2 and 4 — interactive equity estimation
- Bankroll calculator — minimum bankroll for your stake
- MTT simulator — explore tournament variance
Top community discussion (live)
Further reading
- More r/poker: all downswing/variance threads
- More r/poker_theory: variance and sample-size discussions
- Video: YouTube — Variance explainers