Understanding Variance in Gambling (2025)

Variance explains why you can lose while making good decisions and win while making bad ones. Learn how variance affects different casino games and how to plan for it.

Tips & Guides
Updated November 2025
11 min read

You played perfect blackjack strategy and still lost $500. Your friend played terribly and won $1,000. What happened? Variance. Understanding this concept is essential for anyone who gambles regularly.

What Is Variance?

Variance measures how much actual results differ from expected results.

In gambling terms:

  • Expected value tells you what should happen on average
  • Variance tells you how much results swing around that average

Example: A coin flip has 50/50 odds. Expected: 50 heads in 100 flips. But any specific 100 flips might give you 45 heads, or 55, or even 40 or 60. That swing is variance.

Variance vs. House Edge

These are different concepts:

House edge: The casino's long-term mathematical advantage. Fixed and predictable.

Variance: How widely results scatter around expectations. Creates unpredictability.

GameHouse EdgeVariance
Blackjack~0.5%Low
Baccarat~1.1%Low
Craps (pass line)~1.4%Low
Roulette2.7-5.3%Medium
Video Poker0.5-5%Medium-High
Slots5-15%Very High

A game can have low house edge but high variance, or vice versa.

Why Variance Matters

Short-Term Swings

Over a few hours, variance dominates outcomes:

100 hands of blackjack (0.5% house edge):

  • Expected loss: ~$5 (on $1,000 wagered)
  • Actual result: Could be +$200 or -$300

Variance can completely override expected value in short sessions.

Winning Despite Negative EV

Many gamblers have winning sessions because variance allows short-term wins even with negative expected value.

This is why gambling is addictive: You can win despite the math being against you, creating the illusion that you're "good" at it or that luck favors you.

Losing Despite Positive EV

Even advantage players with +EV situations lose frequently. A card counter with 1% edge can easily lose 10 sessions in a row through variance.

Measuring Variance: Standard Deviation

Standard deviation (SD) quantifies variance:

Low SD: Results cluster near expected value High SD: Results scatter widely from expected value

One Standard Deviation

About 68% of results fall within one SD of expected value.

Example:

  • Expected result: -$50
  • Standard deviation: $100
  • 68% of sessions: -$150 to +$50

Two Standard Deviations

About 95% of results fall within two SDs.

Same example:

  • 95% of sessions: -$250 to +$150

Three Standard Deviations

About 99.7% of results fall within three SDs.

Same example:

  • 99.7% of sessions: -$350 to +$250

That remaining 0.3%? You might lose (or win) even more.

Variance by Game

Low Variance Games

Blackjack:

  • Frequent small wins and losses
  • Rarely huge swings in single session
  • Long-term results converge to expected value faster

Baccarat:

  • Nearly even money bets
  • Sessions rarely deviate dramatically
  • Consistent grinding feel

Craps (pass/don't pass):

  • Similar to baccarat
  • Moderate swings possible with odds bets

Medium Variance Games

Roulette:

  • Single number bets are high variance
  • Outside bets (red/black) are lower variance
  • Mixed betting creates medium variance

Video Poker:

  • Base game is medium variance
  • Royal flush hunting increases variance
  • Full-pay machines are lower variance

High Variance Games

Slots:

  • Long periods without significant wins
  • Occasional big hits
  • Extremely wide result distribution
  • Sessions commonly swing +/- 50%+ of buy-in

Progressive jackpots:

  • Near-zero probability events
  • Life-changing if hit
  • Virtually guaranteed loss if not

Understanding What This Means

Low variance: More predictable sessions. Easier to budget. Less exciting. Better for extended play.

High variance: Wild swings. Harder to plan. More exciting. Risk of fast bust-out or big win.

Variance and Bankroll

The Relationship

Higher variance requires larger bankroll to survive:

Low variance (blackjack):

  • 20-30 betting units for a session
  • Rarely lose entire session bankroll
  • Results feel more "fair"

High variance (slots):

  • 100+ spins worth of bankroll advisable
  • Easy to lose entire session bankroll
  • Big wins or busts common

Risk of Ruin

Risk of ruin is the probability of losing your entire bankroll before reaching your goal.

Same expected loss, different variance:

  • Low variance: 5% risk of ruin with 100 units
  • High variance: 30% risk of ruin with 100 units

Variance kills bankrolls faster than house edge in short term.

Variance Over Time

The Long Run

Over thousands of bets, variance matters less and expected value dominates.

Short term: Variance dominates. Winners and losers emerge randomly.

Long term: House edge takes over. Most players lose their expected percentage.

How Long Is Long?

Depends on game variance:

GameHands to "Long Run"
Blackjack10,000+
Video Poker100,000+
Slots1,000,000+

Most recreational players never play enough for true long-run to emerge.

The Gambler's Paradox

Understanding variance creates a paradox:

  • Short-term wins are possible (variance)
  • Long-term loss is likely (house edge)
  • Most gambling is short-term
  • So winning feels achievable

This mathematical truth is why casinos remain profitable while players have frequent winning sessions.

Managing Variance

Accept Reality

Variance is not luck—it's math. Good decisions can lead to losses. Bad decisions can lead to wins. Neither changes what was "correct."

Size Your Bankroll

Match bankroll to game variance:

  • High variance = larger bankroll buffer
  • Low variance = smaller bankroll sufficient
  • Never bet more than you can afford to lose

Set Session Limits

Variance swings both ways. Set:

  • Loss limits (walk away down $X)
  • Win goals (protect profits at +$X)
  • Time limits (play only X hours)

Choose Appropriate Games

If you hate losing your session bankroll:

  • Play lower variance games
  • Accept smaller potential wins
  • Enjoy longer playing time

If you want excitement and big swings:

  • Accept high variance
  • Budget for more losing sessions
  • Enjoy the thrill of potential big wins

Don't Chase

Variance-driven losses are not "mistakes" to be recovered. Chasing losses assumes you're owed positive variance—you're not.

Variance and Psychology

Why Losses Feel Worse

Psychological research shows we feel losses more intensely than gains (loss aversion). A $100 loss hurts more than a $100 win pleases.

High variance amplifies this:

  • Bigger swings = more emotional impact
  • Losing streaks feel personal
  • Winning streaks feel earned

Gambler's Fallacy Revisited

Variance doesn't "balance out" in ways we expect:

Wrong: "I've lost 10 hands, so I'm due to win."

Right: Each bet is independent. Previous variance doesn't predict future variance.

Overconfidence from Winning

Winning despite negative EV creates dangerous overconfidence:

  • "My strategy works!"
  • "I'm good at this!"
  • "I can beat the casino!"

Variance-driven wins don't indicate skill.

Practical Takeaways

For Session Planning

  1. Calculate how many bets your bankroll covers
  2. Choose games matching your variance tolerance
  3. Set firm stop-losses before playing
  4. Don't increase bets to recover losses

For Emotional Management

  1. Accept that losses happen with correct play
  2. Don't attribute wins to skill (in negative EV games)
  3. Focus on decisions, not outcomes
  4. Take breaks during losing streaks

For Long-Term Perspective

  1. The house edge wins eventually
  2. Short sessions are mostly variance
  3. Consistent losses indicate expected value, not bad luck
  4. Entertainment value is the realistic "return"

The Bottom Line

Variance is why gambling feels unpredictable in the short term but predictable in the long term.

Short-term: Anything can happen. Winners and losers emerge randomly.

Long-term: House edge grinds everyone down. The casino always wins eventually.

Understanding variance helps you:

  • Size bankrolls appropriately
  • Choose games matching your preferences
  • Make emotional peace with results
  • Recognize that outcomes don't always reflect decision quality

You can't control variance. You can control how you respond to it.

Frequently Asked Questions