What does this Kelly calculator calculate?
The Kelly Betting Calculator estimates the theoretical fraction of the bankroll based on three pieces of information: bankroll, decimal odds, and estimated probability. When the calculation finds a positive fraction, it shows the corresponding mathematical value. When the odds do not pay enough for the probability entered, the calculated fraction is zero.
Kelly criterion formula in betting
The Kelly criterion compares the reward of the odds with its estimated probability. If the estimated probability exceeds the price implied in the odds, the formula returns a positive fraction of the bankroll. If it does not, the calculated fraction stays at 0%.
The Kelly criterion is a bankroll management formula that calculates the theoretical fraction associated with the difference between the estimated probability and the odds offered.
b = decimal odds - 1p = estimated probabilityq = 1 - pFull Kelly = (b × p - q) ÷ bEquivalent form: full Kelly = ((odds × p) - 1) ÷ (odds - 1)Fractional Kelly = full Kelly × multiplierTheoretical value = bankroll × fractional KellyImplied probability = 1 ÷ decimal oddsFair odds = 1 ÷ estimated probabilityEV = (estimated probability × odds) - 1Edge = estimated probability - implied probability
Practical example in football
Imagine a Brasileirão match where your model estimates a 52% chance for the home team and the best available odd is 2.05. With a bankroll of $1,000 and fractional Kelly at 25%, the tool shows positive EV, positive edge, and a smaller stake than full Kelly.
Probability: 52% Odds: 2.05 Implied probability: 48.78% Edge: +3.22 p.p. EV: +6.60% Full Kelly: approximately 6.29% of bankroll 25% Kelly: approximately 1.57% of bankroll Corresponding theoretical value: approximately $15.70
Full Kelly or fractional Kelly?
Full Kelly uses the full fraction from the formula. In football betting, a slightly optimistic probability can generate a high fraction. Fractional Kelly multiplies that result by 25%, 50%, or 75%; the tool uses 25% only as an initial comparison scenario.
Combine Kelly with EV and match analysis
Use Kelly to compare stake sizes, EV to evaluate price, and match factors to examine the probability estimate. Together they give you a fuller view of the scenario.
Common mistakes when using the Kelly criterion
Using a probability based on intuition alone.
Treating Full Kelly as a universal rule.
Interpreting Kelly with negative EV as a positive fraction.
Linking the calculated fraction to the previous result.
Ignoring that odds change.
Using Kelly without checking its probability estimate.
Ignoring factors and context when interpreting probability.
Frequently asked questions
What is the Kelly criterion in betting?
It is a bankroll management formula that calculates a theoretical fraction based on the estimated probability and the odds entered.
Is Kelly useful for football betting?
It works as a mathematical exposure ruler when probability and odds belong to the same market and the same line.
What is fractional Kelly?
It is calculating a portion of full Kelly, such as 25% or 50%, producing a smaller fraction and exposure.
How does full Kelly compare to fractional Kelly?
Full Kelly produces the full fraction from the formula; fractional Kelly multiplies that fraction by 25%, 50%, or 75%. The tool uses 25% only as an initial scenario.
What does a negative Kelly mean?
It means that, based on the probability entered, the odds do not have enough price. The calculated fraction stays at 0%.
How does the estimated probability affect the result?
Kelly responds directly to your probability estimate. Compare several estimates to see how sensitive the calculated stake is to that input.
How should I interpret the Kelly result?
The result shows a stake and share of bankroll calculated from your inputs. Compare full and fractional Kelly, then change the probability estimate to explore sensitivity.
Want to compare probability, EV, and best odds with the Kelly calculation?
Predora.si organizes football matches with Active Model, Upcoming EV+ Matches, and Odds Comparison.
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