Poker Variance Calculator
Free Monte Carlo poker simulator — enter your win rate and standard deviation to visualize downswings, confidence bands, and risk of ruin over up to 1,000,000 hands.
Enter your stats and tap Simulate
Expected
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Worst 5%
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Risk of Ruin
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What Is Poker Variance?
Variance measures how far your actual results can stray from your expected results. In poker, even a strong winner with a 5 bb/100 win rate will experience massive swings due to the inherent randomness of the cards. A player might run 50,000 hands below expectation despite playing perfectly — and that's completely normal.
This calculator uses Monte Carlo simulation to model 1,000 independent bankroll trajectories based on your win rate and standard deviation. Each simulation batch uses normally distributed random variables (Box-Muller transform) to generate realistic results, then aggregates them into percentile bands and summary statistics.
Understanding Standard Deviation
Standard deviation (SD) quantifies how spread out your results are around your average. It's measured in bb/100 just like win rate. A typical NL Hold'em cash game player has an SD of 60-100 bb/100. PLO players typically see 100-150 bb/100 because pots run bigger relative to stack sizes and equities run closer.
Why does SD matter? Consider two players, both winning at 5 bb/100. Player A has an SD of 60 bb/100 (tight style) and Player B has 100 bb/100 (aggressive style). After 100,000 hands, Player A's worst 5% outcome might be around breakeven, while Player B's worst 5% could be a significant loss. Same win rate, very different experiences — that's the impact of standard deviation.
How to Read the Chart
Green line (mean): Your expected profit over time. This is what you'd earn on average if you played the same number of hands thousands of times. It's a straight line determined entirely by your win rate.
Inner shaded band (70th percentile): 70% of all simulations fall within this band. Think of it as the "likely" range of outcomes.
Outer shaded band (95th percentile): 95% of all simulations fall within this wider band. Only 5% of outcomes are more extreme in either direction.
Thin white lines (sample paths): Three individual simulated trajectories showing what a single run could actually look like. These illustrate the choppy, non-linear reality of poker results versus the smooth theoretical expectation.
Typical Standard Deviations by Game Type
| Game Type | Typical SD | Notes |
|---|---|---|
| NLH Full Ring (9-max) | 60–80 bb/100 | Tighter play, smaller pots |
| NLH 6-max | 75–120 bb/100 | Most common online format |
| PLO Full Ring | 100–140 bb/100 | Bigger pots, closer equities |
| PLO 6-max | 120–160 bb/100 | Highest variance cash format |
| NLH Heads-Up | 100–130 bb/100 | Wide ranges, aggressive play |
Find your exact standard deviation in tracking software like PokerTracker or Hold'em Manager.
Sample Size Requirements
One of the most counterintuitive aspects of poker is how many hands you need before results become meaningful. With a win rate of 5 bb/100 and an SD of 75 bb/100, after 10,000 hands your 95% confidence interval spans roughly -100 bb to +200 bb — an enormous range. Even after 100,000 hands, the interval is still wide.
The rule of thumb: you need at least (SD / WinRate)^2 x 100 hands to have reasonable confidence in your results. For a 5 bb/100 winner with 75 bb/100 SD, that's (75/5)^2 x 100 = 22,500 hands just to achieve a 1-standard-deviation signal. For 2-sigma confidence, quadruple that number.
Bankroll Implications
Variance directly determines how large your bankroll needs to be. The standard recommendation is 20-30 buy-ins for cash games, but this depends on your win rate and standard deviation. A player with a high win rate and low SD might be fine with 15 buy-ins, while a marginal winner with high SD could need 50+.
Use the Risk of Ruin stat to gauge whether your bankroll can withstand the swings. If risk of ruin exceeds 5%, consider moving down in stakes or building a larger bankroll before taking shots at higher levels. The simulator's "Worst 5%" figure shows the bottom of the realistic range — make sure your bankroll can absorb that number.
Frequently Asked Questions
›What is variance in poker?
Variance is the statistical measure of how much your actual results deviate from your expected results (win rate). Even a winning player will experience significant downswings and upswings due to the inherent randomness of the cards. Variance is proportional to the square of the standard deviation — a higher standard deviation means wider swings. In poker, variance is unavoidable; the key is having a large enough bankroll and sample size to let your true win rate emerge.
›What is a good standard deviation in poker?
For No-Limit Hold'em cash games, a typical standard deviation is 60-100 bb/100 hands, depending on play style. Tight-aggressive players tend to have lower standard deviations (60-75 bb/100), while loose-aggressive players run higher (80-100+ bb/100). Tournament players experience even higher variance. For Pot-Limit Omaha, standard deviations of 100-150 bb/100 are common due to the closer equities and bigger pots. You can find your exact standard deviation in your tracking software.
›How many hands do I need to know my true win rate?
At a typical standard deviation of 75 bb/100 and a win rate of 5 bb/100, you need roughly 100,000 hands before your results are statistically meaningful — and even then, your confidence interval is still wide. At 500,000 hands, you can be more confident but still not certain. The rule of thumb is: the lower your win rate relative to your standard deviation, the more hands you need. This simulator helps you visualize exactly how wide the range of outcomes is at any sample size.
›Why am I losing even though I'm a winning player?
Downswings are a mathematical certainty in poker, even for strong winners. With a win rate of 5 bb/100 and a standard deviation of 75 bb/100, a 50,000-hand breakeven or losing stretch is completely normal. The simulator's sample paths show how individual trajectories can look dramatically different from the expected value line. If your fundamentals are sound, the solution is to keep playing through the variance — your edge will manifest over a large enough sample.
›What is risk of ruin in poker?
Risk of ruin is the probability that your bankroll drops below zero (goes bust) at any point during the simulation. It depends on your win rate, standard deviation, and bankroll size. A higher win rate reduces risk of ruin, while a higher standard deviation increases it. Professional players typically aim for a risk of ruin below 5%. This calculator estimates risk of ruin by checking how many simulated paths dip below zero at any point.
›How should I handle downswings?
First, verify your edge still exists by reviewing your play away from the table. If your fundamentals are solid, trust the math — downswings are temporary. Practical steps: (1) ensure your bankroll is large enough (20-30 buy-ins for cash, 100+ for tournaments), (2) move down in stakes if the downswing threatens your bankroll, (3) take breaks to avoid tilt, and (4) focus on decision quality rather than short-term results. Use this simulator to see that your current downswing is likely within the normal range of variance.
›Is PLO more swingy than No-Limit Hold'em?
Yes, significantly. PLO (Pot-Limit Omaha) has standard deviations of 100-160 bb/100 compared to 60-100 bb/100 for NLH. This happens because equities run closer in PLO (typical preflop matchups are 55-45 rather than 70-30), pots are larger relative to stacks, and more money goes in with thin edges. A winning PLO player needs a substantially larger bankroll — often 50+ buy-ins — to withstand the variance. Use this calculator to compare how different standard deviations affect your swings.
›What does the 95th percentile band mean?
The 95th percentile band (outer shaded area on the chart) shows the range where 95% of all simulated outcomes fall. Only 2.5% of results are above the upper edge and 2.5% below the lower edge. If your actual results fall outside this band, it's a strong signal that your true win rate may differ from what you entered — either your edge is bigger than you thought (if above) or you may be overestimating your win rate (if below). The narrower 70th percentile band shows the 'likely' range of outcomes.
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