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How Do Betting Odds Work? A Guide to Payouts and Implied Probability

Betting odds express potential payouts in different formats. Learn to convert them into raw implied probability and understand how bookmaker margin affects the numbers.
From TheFinanceBase Team3 min to read
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Betting odds show the potential payout for a stake and can be converted into an implied probability. That percentage is a reading of the quoted price—not a guarantee that an outcome will happen or necessarily the bookmaker’s unadjusted estimate of its chance.

How do betting odds work?

Odds are quoted prices for possible outcomes. They tell you how a winning bet would pay and can be translated into a raw implied probability. Different odds formats express the same underlying price in different ways.

For example, even-money odds can appear as decimal 2.00, fractional 1/1, or American +100. Each corresponds to a raw implied probability of 50% before accounting for the bookmaker’s margin.

How to read the three common odds formats

Format What the odds show Raw implied probability formula Example
Decimal Total return per unit staked, including the original stake 1 ÷ decimal odds At 2.50, a winning one-unit stake returns 2.50 units total: 1.50 units profit plus the one-unit stake. Raw implied probability: 1 ÷ 2.50 = 40%.
Fractional Profit relative to the stake Denominator ÷ (numerator + denominator) At 3/1, a one-unit winning stake earns three units profit, plus the returned stake. Raw implied probability: 1 ÷ (3 + 1) = 25%.
American, positive Profit on a 100-unit stake 100 ÷ (positive number + 100) At +150, a 100-unit winning stake earns 150 units profit. Raw implied probability: 100 ÷ (150 + 100) = 40%.
American, negative Stake required to win 100 units profit Absolute value of negative number ÷ (absolute value + 100) At -200, you must stake 200 units to win 100 units profit. Raw implied probability: 200 ÷ (200 + 100) = 66.7%.

These probability conversions are arithmetic readings of the odds, not statements that an outcome has exactly that chance of occurring.

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How to calculate implied probability in betting

Use the formula for the format shown. For American odds, treat a negative number as its absolute value in the calculation.

  • Decimal odds D: 1 ÷ D
  • Fractional odds a/b: b ÷ (a + b)
  • Positive American odds +A: 100 ÷ (A + 100)
  • Negative American odds -A: A ÷ (A + 100)

To express the result as a percentage, multiply the result by 100. For decimal 2.50, for instance, 1 ÷ 2.50 = 0.40, or 40%.

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Why implied probabilities can add up to more than 100%

In a market with multiple mutually exclusive outcomes, add the raw implied probabilities for every outcome. If the total exceeds 100%, the excess is the overround: margin embedded in the offered prices. It is not an extra probability that any outcome will occur.

Smarkets’ historical example for the 2016 Australian Open final listed Novak Djokovic at decimal 1.20, fractional 1/5, and American -500, giving a raw implied probability of 83.3%. Andy Murray was listed at 5.50, 9/2, and +450, or 18.1%. Together the raw probabilities total 101.4%, illustrating how quoted prices can include margin. These are historical example prices, not current odds. Smarkets explains odds conversions and the example.

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A 2016 William Hill submission hosted by the UK Competition and Markets Authority illustrates how an uplift can produce an overround. In its Ipswich Town–Bradford City example, expected outcome probabilities were 43.65%, 30.28%, and 26.07%; odds of 2.15, 3.1, and 3.6 after uplift produced an overround of 106.5. That figure describes the document’s worked example, not a current industry average. Read the William Hill submission hosted by the CMA.

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Does implied probability tell you the true chance?

No. It is derived from the offered price, which can reflect a bookmaker’s estimate and an uplift that embeds margin. It should not be treated as the bookmaker’s unadjusted view, a guarantee, or a certainty about the result.

The William Hill submission, in its January 2016 Appendix “Pricing in the UK Gambling Industry,” states: “The first is that predicting the likelihood of outcomes of any sporting event is, of course, subjective.” Even an accurate estimate cannot remove the uncertainty of a sporting result. The submission is hosted by the UK Competition and Markets Authority.

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