Translate the selection into goal counts
| Selection | Loses | Pushes | Wins |
|---|---|---|---|
| Over 1.5 | 0 or 1 | Never | 2 or more |
| Over 2.0 | 0 or 1 | 2 | 3 or more |
| Over 2.5 | 0, 1, or 2 | Never | 3 or more |
| Under 2.0 | 3 or more | 2 | 0 or 1 |
| Under 2.5 | 3 or more | Never | 0, 1, or 2 |
| Under 3.0 | 4 or more | 3 | 0, 1, or 2 |
The table assumes a match-total market settled on regulation time plus stoppage time. Betfair's current football rules provide that default as one operator example; extra time counts only when the market says so.
Worked returns
For an illustrative GBP 25 stake at decimal odds 1.84:
Gross return on a win = 25 * 1.84 = 46
Net profit on a win = 46 - 25 = 21
At Over 2.5, a 2-0 final score loses and a 2-1 score wins. At Over 2.0, 2-0 pushes and returns GBP 25, while 2-1 wins. The line change alters the payoff states; the price must be read with it.
Quarter lines belong to a split settlement
Over 2.25 is half Over 2.0 and half Over 2.5. Exactly two goals produce a half loss; three or more produce a full win. Under 2.25 at exactly two goals produces a half win. The full split tables and checked GBP 40 examples are in Asian goal lines explained.
From a goal forecast to a probability
An expected goal count is not itself the probability of Over 2.5. A distribution is required. The OpenStax Poisson chapter defines the Poisson probability mass function and its assumptions. A basic independent-Poisson model can sum score probabilities above or below a line, but football scores can violate simple independence assumptions.
Dixon and Coles proposed a football score model that adjusts low-scoring dependence (Dixon and Coles, 1997). That research supplies a modelling approach for its stated sample, not a current universal edge or a replacement for out-of-sample validation.
Illustrative probability aggregation
Suppose an explicitly illustrative model assigns these probabilities to total-goal regions:
| Goal region | Probability |
|---|---|
| 0 to 2 | 0.54 |
| 3 or more | 0.46 |
For Over 2.5 at decimal odds 2.20, the one-unit expected value is:
EV = (0.46 * 1.20) - (0.54 * 1) = 0.012
The illustrative EV is 0.012 units only if the 46% estimate is reliable and the price is executable. At 44%, the same calculation becomes negative:
EV = (0.44 * 1.20) - (0.56 * 1) = -0.032
Common category errors
- Match totals combine both teams; team goals use one named team.
- BTTS Yes requires each team to score; a 3-0 match wins Over 2.5 but loses BTTS Yes.
- A first-half total excludes second-half goals.
- A regulation-time total excludes extra time unless the product states otherwise, as illustrated by current operator football rules.
- A whole line can push; a half line cannot.
Continue learning
- Next guide: Relegation Betting
- Related guide: Team Goals Betting
- Definition: Over/Under Goals
Assumptions and limitations
The prices and model probabilities are illustrative. Goals awarded or removed after a review, abandoned fixtures, rescheduling, and data corrections follow the accepted market's current rules. DraftKings' soccer rules provide a second operator example and should not be treated as universal.

