The Lab / Kelly Criterion

Kelly Criterion

Optimal stake sizing based on your edge

Recommended Stake

% of Bankroll

Edge

How to Use the Kelly Criterion for Sports Betting

The Kelly Criterion is a mathematical formula developed by John L. Kelly Jr. in 1956 that determines the optimal size of a bet based on your perceived edge over the bookmaker. Unlike flat staking where you bet the same amount regardless of confidence, Kelly dynamically adjusts your stake — betting more when your edge is larger and less when it is marginal.

The formula is: Kelly % = (bp − q) / b, where b is the net decimal odds (decimal odds minus 1), p is your estimated probability of winning, and q is the probability of losing (1 − p). If the result is negative, the Kelly Criterion is telling you there is no edge and you should not bet.

Full Kelly vs Half Kelly vs Quarter Kelly

In practice, most serious punters use Half Kelly or Quarter Kelly rather than Full Kelly. Full Kelly maximises long-term growth but produces significant bankroll swings that most people find uncomfortable. Half Kelly delivers roughly 75% of the long-term growth rate with substantially reduced variance, making it the most common choice among professional bettors.

Practical Example

Say you believe a team has a 55% chance of winning and the bookmaker offers 2.10. Enter 55% as your win probability, 2.10 as the odds, and your bankroll amount. The calculator shows your edge (the gap between your estimated probability and the implied probability) and the recommended stake. If the edge is negative, the calculator tells you not to bet — the bookmaker has the advantage.

Frequently Asked Questions

What is the Kelly Criterion?
The Kelly Criterion is a formula that calculates the mathematically optimal bet size based on your edge (the difference between your estimated probability and the bookmaker's implied probability). It maximises long-term bankroll growth.
Should I use Full Kelly or Half Kelly?
Most professional bettors use Half Kelly. It delivers about 75% of the long-term growth of Full Kelly but with significantly less variance. Quarter Kelly is even more conservative and suitable for beginners.
What if the Kelly calculator shows a negative number?
A negative Kelly result means you have no edge — the bookmaker's odds are better than your estimated probability. Do not place the bet.
How accurate does my probability estimate need to be?
The Kelly Criterion is only as good as your probability estimate. If you consistently overestimate your chances, Kelly will recommend stakes that are too large. Start with Quarter Kelly while you calibrate your estimation accuracy.

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