Tools/Bankroll
Bankroll math

Kelly criterion
calculator.

Compare your probability estimate with the break-even number, then explore what full or fractional Kelly would show for betting prices.

01 / Input

Model the edge

FD / CALC-006
Price formatthe formula uses net odds
$USD
AMERICAN
Try a common line
%
Kelly fractionscale the full result
Full-Kelly reference f = (1.00 × 0.55 − 0.45) ÷ 1.00 = 10.00% full b is the net profit on a one-unit win, p is your win probability, and q is 1 − p. Kelly is only as useful as the estimate behind it.
02 / Readout

Here’s the reference in numbers

Live
Selected Kelly stake
$50.00
No positive edgeFull Kelly
Full Kelly+10.00%
Selected fraction50% of full
Your edge+5.00 pp
Break-even probability50.00%
Input price+100
Net odds (b)1.0000
Bankroll$1,000.00
Full-Kelly stake$100.00
i

At +100 and a 55.00% win estimate, full Kelly is 10.00% of the $1,000.00 bankroll. The selected 50% fraction gives a $50.00 reference stake.

Read it correctly

The edge has to be yours.

Kelly does not create an advantage. It only translates an advantage you believe you have into a bankroll fraction.

P

Probability estimate

The input that drives the result.

55% estimate − 50% implied = +5 pp
½

Fractional Kelly

A smaller slice of the full result.

10% full × 50% = 5% reference
Common questions

Put the formula in context

The formula is precise. Your probability estimate may not be. That distinction matters more than the decimal places.

What does Kelly measure?

It estimates a bankroll fraction when your probability estimate is above the price’s break-even probability. It does not find the edge for you.

Why use a fraction?

Full Kelly can react sharply to small changes in your inputs. A fraction reduces that sensitivity, but it cannot remove uncertainty.

What if there is no edge?

If your estimate is at or below the implied probability, the model shows no positive Kelly stake. That is an input signal, not a challenge to wager anyway.

Where does the estimate come from?

The calculator does not create it. Use a documented model, a calibrated estimate, or a carefully chosen market baseline. If you cannot explain the number, treat the Kelly result as illustrative.

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