DraftKings' soccer rules provide one current example of correct-score settlement. The practical task is to record the exact score option, qualifying period, and exceptional settlement rules before comparing any price.
How Bookmakers Price Correct Scores
An analyst can construct a score grid by assigning a probability to each home-goal and away-goal count. A basic approach models the two counts with Poisson distributions and multiplies them under an independence assumption. Dixon and Coles developed a football score model that also adjusts dependence in low-scoring results.
An operator's production pricing method is not public merely because a Poisson model is available. Treat the offered odds as market data and the model as a separate estimate.
Scoreline Grid
Every mutually exclusive final score should occupy one cell. A truncated display must keep the remaining probability in an other bucket; probabilities cannot simply disappear above 5-5. Summing cells also produces broader model probabilities, such as home win, draw, away win, BTTS, and goal totals. The Poisson probability mass function supplies the individual count probabilities used by this illustrative grid (OpenStax Poisson distribution).
Practical Example
Assume purely illustrative independent Poisson means of 1.5 home goals and 0.9 away goals. Then:
| Score | Calculation | Probability | No-margin decimal price |
|---|---|---|---|
| 1-0 | e^-1.5 x 1.5 x e^-0.9 |
13.61% | 7.35 |
| 1-1 | e^-1.5 x 1.5 x e^-0.9 x 0.9 |
12.25% | 8.17 |
| 2-1 | e^-1.5 x (1.5^2 / 2) x e^-0.9 x 0.9 |
9.19% | 10.88 |
The no-margin price is 1 / probability. These checked figures use the stated illustrative Poisson inputs (OpenStax Poisson distribution). Real offered odds can differ because the inputs are wrong, the independence assumption is weak, the operator uses another method, or margin is included.
Covering Multiple Scores
If several mutually exclusive scores are backed, add their stakes and calculate the net payoff under every score. Covering more cells increases the probability that one backed cell wins, but it does not automatically create positive expected value. The sum of accepted stakes can also exceed the return on the shortest backed price.
Past performance does not guarantee future results. A probability grid distributes uncertainty across scores; it does not predict one exact result with certainty.
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Related resources
Continue with BTTS Meaning: What It Means in Betting for the next part of this topic, or return to Betting Glossary: Every Betting Term Explained in Plain English to compare the other guides in this collection.
Continue learning
- Next guide: Correlation in Betting
- Related guide: Decimal Odds
- Go deeper: Correct Score Betting
Assumptions and limitations
The score-grid example uses separate Poisson goal counts and an independence assumption for transparency. Real score data can show dependence, changing team strength, and model error; Dixon and Coles is cited as a football-specific adjustment, not as a universal pricing model. Operator rules still determine the settlement period and any other-score option.
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