The Kelly criterion, and why to halve it

There is a mathematically optimal bet size. It is also brutally unforgiving of an overestimated edge, which is why half of it is the working default.

There is a mathematically optimal bet size. It was worked out at Bell Labs in 1956 for signal transmission, adopted by gamblers almost immediately, and it is brutally unforgiving of an overestimated edge — which is why nearly everyone who uses it seriously bets a fraction of it.

The formula

f = (b × p − q) ÷ b, where b is the profit per unit staked, p is your probability of winning, and q is 1 − p. The answer f is the share of your bankroll to bet.

Sizing a real bet

  1. The price is +120, so b = 1.20.
  2. You believe the true chance is 50%, so p = 0.50 and q = 0.50.
  3. f = (1.20 × 0.50 − 0.50) ÷ 1.20 = 0.10 ÷ 1.20.
  4. = 0.083.

Full Kelly says 8.3% of the bankroll — $166 of a $2,000 roll. That is eight times a normal 1% unit.

That number should feel uncomfortable, and the discomfort is correct. Kelly maximises long-run *growth rate*, not comfort, and it assumes something that is never true.

The assumption that breaks it

Kelly is optimal only if your probability estimate is exactly right. It is not. Nobody's is.

The asymmetry is what matters. Underestimate your edge and you simply grow slower. Overestimate it and you overbet — and overbetting compounds against you, because the losses come off a shrinking bankroll. Bet twice the Kelly stake with no edge at all and the expected long-run outcome is zero.

Betting a multiple of Kelly, roughly
StakeGrowth rateSwingsIn practice
Quarter Kelly~44% of maximumSmallConservative and very durable
Half Kelly~75% of maximumModerateThe working default
Full Kelly100%SevereCorrect only with a perfect estimate
Double Kelly0%ExtremeLong-run growth of nothing

Half Kelly is the standard compromise for a reason: it keeps three quarters of the growth for roughly half the volatility, and it forgives an edge estimate that is somewhat too optimistic.

Practical corrections

Kelly on a bad edge estimate is worse than flat betting

Kelly amplifies whatever you feed it. Given a well-measured edge it sizes better than any fixed rule; given wishful thinking it sizes the wishful thinking. If you have not yet measured your closing line value over a real sample, flat betting is the more honest choice.

Enter a price, your fair number and a bankroll — the calculator does full and half Kelly. Size a bet with Kelly.

Terms in this lesson