Kelly criterion for sports betting
Learn how to use the Kelly criterion to calculate optimal bet sizes. Covers full Kelly, fractional Kelly, and when to use each approach.
Key takeaways
- The Kelly criterion calculates the mathematically optimal stake to maximize bankroll growth
- Kelly% = Edge / (Odds - 1), where Edge = (Probability × Odds) - 1
- Full Kelly is too aggressive for most bettors — use half or quarter Kelly instead
- Kelly requires accurate probability estimates to work correctly
- Over-staking (above Kelly) actually reduces long-term growth, not increases it
What is the Kelly criterion?
The Kelly criterion is a mathematical formula developed by John Kelly at Bell Labs in 1956. It calculates the optimal fraction of your bankroll to stake on a bet with positive expected value, maximizing long-term growth rate.
Unlike flat staking where you bet the same amount regardless of edge, Kelly tells you to bet more when your edge is larger and less when it's smaller. This is mathematically proven to be the fastest way to grow a bankroll — but it comes with higher variance.
The key insight: there's an optimal stake size. Betting too little leaves money on the table. Betting too much actually reduces your growth rate and increases risk of ruin.
The Kelly formula for betting
For decimal odds:
Kelly% = (p × (d - 1) - (1 - p)) / (d - 1)
Where:
- p = true probability of winning
- d = decimal odds offered
Simplified:
Kelly% = Edge / (Odds - 1)
Edge = (p × d) - 1
Example 1: 55% win probability, odds 2.00
Edge = (0.55 × 2.00) - 1 = 0.10
Kelly = 0.10 / (2.00 - 1) = 10% of bankroll
Example 2: 30% win probability, odds 4.00
Edge = (0.30 × 4.00) - 1 = 0.20
Kelly = 0.20 / (4.00 - 1) = 6.67% of bankroll
Calculate instantly with the Kelly criterion calculator.
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Sign up freeWhy you should use fractional Kelly
Full Kelly maximizes theoretical growth, but in practice it's too aggressive because:
- Probability estimates are imperfect. Kelly assumes you know the true probability exactly. Overestimating your edge leads to catastrophic over-staking.
- Variance is extreme. Full Kelly produces drawdowns of 50-80% — psychologically brutal even if you recover.
- Simultaneous bets. Kelly is designed for sequential bets. When placing multiple bets at once, full Kelly stakes can exceed 100% of your bankroll.
Fractional Kelly comparison:
- Full Kelly (100%): Maximum growth, maximum variance. Risk of ruin is theoretically 0 but drawdowns are severe.
- 3/4 Kelly (75%): 75% of growth rate, significantly less variance.
- Half Kelly (50%): 75% of the growth rate of full Kelly with dramatically less variance. Most popular choice among professionals.
- Quarter Kelly (25%): 44% of full Kelly growth but very smooth equity curve. Good when edge estimates are uncertain.
Half Kelly is the sweet spot for most bettors — you sacrifice only 25% of the growth rate while cutting variance roughly in half.
Kelly vs flat staking
Flat staking bets the same percentage regardless of edge. Kelly adjusts stake size based on edge magnitude.
- Use flat staking when: You don't have precise probability estimates, you prefer simplicity, or you're just starting out.
- Use Kelly when: You have reliable probability estimates (e.g., from devigging sharp odds), you understand the math, and you can handle the variance.
In practice, many professional bettors use a hybrid: fractional Kelly when they have strong edge estimates, with a minimum and maximum stake cap (e.g., never below 0.5% or above 4% of bankroll regardless of what Kelly suggests).
Common Kelly mistakes
- Overestimating your edge. If you think your edge is 10% but it's really 3%, Kelly will have you staking 3x too much. Always be conservative with probability estimates.
- Using full Kelly. Unless you have perfect probability estimates and nerves of steel, use half or quarter Kelly.
- Ignoring correlation. Kelly assumes independent bets. If you're betting multiple correlated outcomes (e.g., same match), treat them as a single bet or reduce stakes.
- Staking above Kelly. This is the biggest mistake. Staking above the Kelly fraction doesn't just increase risk — it actually decreases your expected growth rate. More risk, less reward.
Frequently asked questions
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