Poker Variance Explained: Complete Guide to Understanding & Managing Variance
You've played your best poker all month, made excellent decisions, and somehow you're down 15 buy-ins. This isn't a failure of skill—it's variance at work. Understanding variance is perhaps the most crucial concept separating recreational players from those who succeed long-term in poker. It explains why good players lose and why losing players sometimes win, at least temporarily.
Variance is the mathematical reality that short-term poker results are dominated by luck, while long-term results reveal skill. According to research published in the Journal of Gambling Studies, poker has been demonstrated to be a game where skill predominates over chance in the long run, but only after sufficient sample sizes—often hundreds of thousands of hands.
This guide explains everything you need to know about variance: what it means, how to measure it, why downswings happen to winning players, and most importantly, how to manage variance both mathematically and mentally. Whether you're a beginner confused by your swings or an experienced player seeking to optimize your approach to variance, this comprehensive resource will deepen your understanding.
What Is Variance in Poker?
Variance is a statistical measure of how far your actual results deviate from your expected results. In poker terms, it describes the natural fluctuations in your bankroll caused by the random distribution of cards, even when you're making optimal decisions.
The Core Concept
Imagine you're a winning player with a true win rate of 5 big blinds per 100 hands (5 bb/100). Over 10,000 hands, you "expect" to win 500 big blinds. However, variance means your actual result could range anywhere from losing 300 big blinds to winning 1,300 big blinds—all while playing the exact same quality of poker.
This spread of possible outcomes is variance in action. The cards don't know your skill level; they fall randomly. Your aces will get cracked, your flush draws will miss, and your opponents will hit miracle rivers. These events aren't punishment for bad play—they're the mathematical reality of a game with incomplete information and random outcomes.
Variance vs. Expected Value
Expected Value (EV): The average result you'd achieve over an infinite sample. A +EV decision is profitable in the long run.
Variance: The spread of actual results around that expected value. High variance means wider swings; low variance means results cluster closer to EV.
You control your EV through skill. You cannot control variance—you can only manage your response to it.
Why Variance Exists in Poker
Poker variance stems from several mathematical realities:
- Random card distribution – Each hand deals from a shuffled deck; no pattern or skill influences which cards appear
- Incomplete information – You never know opponents' exact holdings, leading to situations where correct decisions still lose
- Equity realization – Even with 80% equity, you lose 20% of the time; over many such situations, losses cluster together
- High-variance scenarios – All-in situations, set-over-set, coolers are infrequent but dramatically impact results
As the PokerNews strategy section frequently emphasizes, accepting variance as an inherent feature of poker—not a bug—is fundamental to long-term success.
Standard Deviation: Measuring Variance
Standard deviation (SD) is the mathematical measurement of variance. It quantifies how spread out your results are from your average win rate. In poker, standard deviation is typically expressed in big blinds per 100 hands (bb/100).
Understanding Standard Deviation
If you have a win rate of 5 bb/100 and a standard deviation of 80 bb/100, here's what that means statistically:
- 68% of the time – Your results over 100 hands will fall between -75 bb and +85 bb (within one SD)
- 95% of the time – Results will fall between -155 bb and +165 bb (within two SDs)
- 99.7% of the time – Results will fall between -235 bb and +245 bb (within three SDs)
Notice how even with a positive win rate, most 100-hand samples can show a loss. This is why small sample sizes tell you almost nothing about your true ability.
Typical Standard Deviation Values
| Format | Typical SD (bb/100) | Variance Level | Notes |
|---|---|---|---|
| NL Hold'em 6-max | 75-100 | Moderate-High | Most common online format |
| NL Hold'em Full Ring | 60-85 | Moderate | Tighter play reduces variance |
| Pot-Limit Omaha | 100-150 | Very High | Closer equities increase variance |
| MTT Tournaments | 200-500+ | Extreme | Top-heavy payouts amplify variance |
| Sit & Go | 150-250 | High | ICM pressure adds variance |
| Heads-Up | 100-130 | High | More hands, more confrontations |
To visualize how variance affects your results over time, try our Variance Simulator tool.
Factors That Increase Standard Deviation
Your playing style significantly impacts your standard deviation:
Higher Variance Factors
- Aggressive play style (more raising/re-raising)
- Playing more hands (wider ranges)
- Frequent all-in situations
- High 3-bet and 4-bet frequencies
- Deep-stacked play (more post-flop decisions)
- Playing against unpredictable opponents
Lower Variance Factors
- Tight-aggressive style
- Playing premium hands
- Avoiding marginal spots
- Shorter effective stacks
- Playing against predictable opponents
- Avoiding tournament formats
Understanding Downswings
A downswing is an extended period where your results fall below expectation, often significantly. Downswings are mathematically inevitable for all poker players—they're a feature of variance, not a sign of playing poorly.
The Mathematics of Downswings
Using statistical models, we can calculate the probability of experiencing various downswing severities. According to poker mathematics research discussed on Two Plus Two forums and academic probability studies, here are realistic downswing expectations:
| Win Rate (bb/100) | SD (bb/100) | 10 BI Downswing | 20 BI Downswing | 30 BI Downswing |
|---|---|---|---|---|
| 2 | 80 | ~40% | ~20% | ~10% |
| 5 | 80 | ~25% | ~8% | ~3% |
| 8 | 80 | ~15% | ~3% | ~1% |
| 5 | 100 | ~35% | ~15% | ~7% |
Note: Probabilities are approximate and represent likelihood over a 100,000+ hand sample.
These numbers reveal a sobering reality: even excellent players (8 bb/100 winners) have roughly a 1 in 7 chance of experiencing a 10 buy-in downswing at some point. For more moderate winners, significant downswings are nearly certain over a playing career.
How Long Do Downswings Last?
Downswing duration varies enormously based on win rate and variance. Some realistic expectations:
- Minor downswings (5-10 buy-ins): Common; can last 5,000-20,000 hands
- Moderate downswings (10-20 buy-ins): Expect one or more per year; can last 20,000-50,000 hands
- Severe downswings (20+ buy-ins): May happen once every few years; can exceed 100,000 hands
- Tournament downswings: Due to extreme variance, 100+ buy-in downswings are possible for tournament professionals
For strategies on navigating extended downswings, see our bankroll recovery guide.
Distinguishing Variance from Leaks
One of poker's greatest challenges is determining whether a downswing reflects bad luck or deteriorating play. Warning signs that suggest leaks rather than pure variance:
- Significant changes to your HUD stats (VPIP, PFR, aggression frequency)
- Playing while tilted, tired, or distracted
- Making plays you can't justify strategically
- Ignoring game selection during the downswing
- Playing more hands or sessions than usual to "get even"
Regular hand review and database analysis help separate variance from genuine performance issues. For systematic leak identification, use our Leak Finder tool.
Bankroll Requirements and Variance
Proper bankroll management is your primary defense against variance. The size of bankroll you need depends directly on the variance of your chosen format and your tolerance for risk of ruin.
Risk of Ruin Concept
Risk of ruin (RoR) is the probability that variance will eventually deplete your entire bankroll before you can recover. The PokerStrategy bankroll guidelines and similar resources emphasize that even winning players have non-zero risk of ruin if under-rolled.
The formula for risk of ruin involves your win rate, standard deviation, and bankroll size:
Risk of Ruin Formula
RoR = e^(-2 × WR × BR / SD²)
Where WR = win rate, BR = bankroll in big blinds, SD = standard deviation
A 5 bb/100 winner with 80 bb/100 SD needs roughly 2,000 big blinds (20 buy-ins) for a 5% risk of ruin.
Recommended Bankroll by Format
| Format | Conservative (1% RoR) | Standard (5% RoR) | Aggressive (10% RoR) |
|---|---|---|---|
| NL Cash 6-max | 40+ buy-ins | 25-30 buy-ins | 20 buy-ins |
| NL Cash Full Ring | 30+ buy-ins | 20-25 buy-ins | 15-20 buy-ins |
| PLO Cash | 60+ buy-ins | 40-50 buy-ins | 30 buy-ins |
| MTT Tournaments | 200+ buy-ins | 100-150 buy-ins | 75-100 buy-ins |
| Sit & Go | 100+ buy-ins | 50-75 buy-ins | 40-50 buy-ins |
These recommendations assume you're a winning player. If you're still learning or have an uncertain win rate, add 50-100% more buy-ins as a buffer.
The Mental Game of Variance
Understanding variance intellectually is one thing; accepting it emotionally is another. Many technically skilled players fail because they cannot handle the psychological impact of variance. As detailed in our poker mental game guide, emotional control during variance is often the deciding factor between success and failure.
Cognitive Biases and Variance
Several psychological biases distort how we perceive variance:
- Negativity bias: Bad beats feel more impactful than lucky wins, making downswings feel worse than upswings feel good
- Recency bias: Recent results dominate your perception, causing overreaction to short-term variance
- Outcome-oriented thinking: Judging decisions by results rather than process leads to poor adjustments
- Confirmation bias: During downswings, you notice every bad beat; during upswings, you attribute success to skill
- Gambler's fallacy: Believing you're "due" for good cards after a losing streak
Research in behavioral economics, including studies published by institutions like the National Bureau of Economic Research, confirms these biases affect decision-making under uncertainty across many domains, not just poker.
Strategies for Emotional Resilience
Before Playing
- Review your long-term results to reinforce perspective
- Set session loss limits and stop-loss rules
- Check your emotional state; skip sessions when tilted
- Remind yourself that today's results don't define your skill
During Sessions
- Focus on making correct decisions, not on results
- Take breaks after bad beats to reset emotionally
- Avoid checking your session results while playing
- Use breathing techniques to manage tilt responses
After Sessions
- Review hands for decision quality, not outcomes
- Track results but analyze in aggregate, not daily
- Maintain activities outside poker for perspective
- Discuss tough spots with other players
During Downswings
- Move down in stakes if needed (no shame)
- Reduce volume to prevent burnout
- Get coaching or hand review from trusted sources
- Remember: even legends have brutal downswings
Process Over Outcomes
The healthiest approach to variance is ruthless focus on process rather than outcomes. Every decision should be evaluated by whether it was correct given the information available—not by whether it worked out.
This mindset shift is difficult but transformative. When you genuinely internalize that a correct decision can lose and an incorrect decision can win, variance loses much of its emotional power over you.
Variance Across Poker Formats
Different poker formats have dramatically different variance profiles. Understanding these differences helps you choose formats aligned with your bankroll, risk tolerance, and psychological makeup.
Cash Games
Cash games offer the lowest variance in poker because you can leave at any time, there's no tournament ICM pressure, and the blinds never increase. Within cash games:
- Full ring (9-10 players): Lowest variance; tight play is rewarded
- 6-max: Moderate variance; more hands per hour, more confrontation
- Heads-up: Higher variance; every pot is contested
Tournaments (MTTs)
Multi-table tournaments have extreme variance due to top-heavy payout structures. Even the best players can play thousands of tournaments between significant cashes. As discussed in our tournament types guide:
- Large-field MTTs have the highest variance in poker
- ROI (Return on Investment) is harder to measure; requires massive samples
- A single deep run can change yearly results dramatically
- ICM considerations add additional variance during bubble play
Sit & Go Tournaments
SNGs fall between cash games and MTTs in variance. Standard 9-player SNGs have flatter payout structures than MTTs, reducing variance somewhat, but still require larger bankrolls than cash games.
Pot-Limit Omaha
PLO has inherently higher variance than No-Limit Hold'em because equities run closer. A dominant hand in Hold'em might be 80-20; in PLO, the same situation might be 60-40. This closer equity distribution means more coin-flip scenarios and higher variance.
Practical Variance Management Tips
Beyond theory, here are actionable strategies for living with variance:
Track Everything
Detailed tracking provides the data needed to distinguish variance from performance issues. Track:
- Hands played and results by session, day, week, month
- Win rates by position, hand type, and situation
- All-in equity won vs. expected (EV-adjusted results)
- Standard deviation of your actual results
Online players should use tracking software; live players can use our Session Tracker tool.
Use EV-Adjusted Results
EV-adjusted (or "All-In EV") results show what you would have won if all-in situations resolved according to equity rather than actual outcomes. This metric smooths out some variance and gives a cleaner picture of your decision quality.
For example, if you get all-in with AA vs. KK (82% equity) for a $1,000 pot but lose, your actual result is -$500, but your EV result is +$320 (82% of $1,000 minus your $500 investment). Over time, EV results converge with actual results, but in the short term, EV provides useful signal.
Sample Size Awareness
Never draw conclusions from small samples. General guidelines for statistical significance:
- 10,000 hands: Results are almost meaningless; variance dominates
- 50,000 hands: Very rough estimate of win rate; still huge confidence intervals
- 100,000 hands: Reasonable baseline for cash game win rate assessment
- 200,000+ hands: More reliable; can start comparing across game types
- Tournaments: Need 500+ events for meaningful ROI assessment
To calculate the statistical significance of your results, use our Sample Size Calculator.
Game Selection as Variance Management
Choosing softer games increases your win rate, which reduces the impact of variance on your bankroll. Higher win rates mean shorter downswings and lower risk of ruin. For game selection strategies, see our table selection guide.
Frequently Asked Questions
What is variance in poker?
Variance in poker refers to the statistical measure of how far your actual results deviate from your expected results over time. Even winning players experience significant swings due to variance because poker outcomes are influenced by luck in the short term. A player with a positive expected value (winning player) can still have losing days, weeks, or even months due to variance. Standard deviation is the mathematical measurement of variance, typically expressed in big blinds per 100 hands (bb/100).
Why do winning poker players still lose money sometimes?
Winning poker players lose money sometimes because variance causes short-term results to deviate significantly from expected value. Even with a 5 bb/100 win rate (considered excellent), a player can easily experience 10, 20, or even 50 buy-in downswings due to natural statistical variance. The random distribution of cards means bad beats, coolers, and unlucky runouts happen regardless of skill level. Over thousands of hands, skill emerges as the dominant factor, but in any single session or even month, variance can overwhelm skill.
What is standard deviation in poker?
Standard deviation in poker measures how much your results spread around your average (win rate). It's expressed in bb/100, with typical values ranging from 60-100 bb/100 for cash games and higher for tournaments. A standard deviation of 80 bb/100 means roughly 68% of your 100-hand sessions will fall within plus or minus 80 bb of your win rate. Higher standard deviation means more volatile results. Aggressive styles, multi-table tournaments, and high-variance formats like PLO have higher standard deviations.
How long do poker downswings last?
Poker downswings can last anywhere from a few hundred hands to hundreds of thousands of hands, depending on your win rate and standard deviation. A player with a 3 bb/100 win rate and 80 bb/100 standard deviation has roughly a 5% chance of experiencing a 30+ buy-in downswing at some point in their career. Extended downswings lasting 50,000-100,000 hands are not uncommon for even solid winning players. The key is that downswings are mathematically inevitable and not necessarily indicative of playing poorly.
How do you calculate poker variance?
Poker variance is calculated using the formula: Variance = Standard Deviation squared. For practical purposes, players track their results over many hands and calculate standard deviation from their session-by-session or daily results. Online poker tracking software automatically calculates these metrics. The formula for the range of expected results over N hands is: Range = Win Rate x N/100 plus or minus (Standard Deviation x square root of N/100). This gives you the likely spread of outcomes based on sample size.
Is poker mostly luck or skill?
In the short term, poker results are heavily influenced by luck (variance). In the long term, skill is the dominant factor. Studies have shown that the same players consistently appear at final tables of major events, demonstrating that skill prevails over sufficient sample sizes. Academic research suggests that after approximately 1,000 hours of play, a player's skill level becomes the primary determinant of results. The challenge is that "long term" in poker means hundreds of thousands of hands or thousands of tournament entries.
Key Takeaways
- Variance is mathematical certainty: No amount of skill eliminates short-term luck
- Standard deviation quantifies variance: Typically 60-100 bb/100 for cash games, much higher for tournaments
- Downswings happen to everyone: Even excellent players face extended losing periods
- Bankroll management is your defense: Proper bankroll size absorbs variance without going broke
- Process over outcomes: Judge decisions by correctness, not results
- Sample size matters: Draw conclusions only from statistically significant samples
- Mental game is crucial: Emotional resilience during variance separates winners from losers
- Format choice affects variance: Cash games have lowest variance; MTTs have highest
Embracing variance rather than fighting it is essential to poker success. The players who thrive long-term are those who understand variance intellectually, manage it financially through proper bankroll management, and handle it emotionally through mental game work.
For further study of poker mathematics, see our poker probability guide, and for understanding how expected value guides decisions, explore our EV calculator.
Remember that responsible gambling is essential. The National Council on Problem Gambling provides resources for anyone struggling with gambling-related issues. Never play with money you can't afford to lose, and recognize when variance-induced frustration affects your well-being.