How to Read a Correct Score Matrix
What the correct score grid shows, why the most likely score happens only about one time in eight, and how to read result, goals and handicap markets straight off the grid.
By the GoalStatsHub team · · 5 min read
Every match page on GoalStatsHub has a correct score matrix: a grid with the home side’s goals down the rows and the away side’s goals across the columns, and a probability in every cell. It is the most detailed thing the model produces, because every other goal market is calculated from it. This guide explains how to read it and how to avoid the most common misreading.
What the grid looks like
Here is part of the grid for an invented match where the home side is expected to score 1.5 goals and the away side 1.1. (The same example is worked through in how prediction models work.)
| Home ↓ / Away → | 0 | 1 | 2 | 3 |
|---|---|---|---|---|
| 0 | 7.4% | 8.2% | 4.5% | 1.6% |
| 1 | 11.1% | 12.3% | 6.7% | 2.5% |
| 2 | 8.4% | 9.2% | 5.1% | 1.9% |
| 3 | 4.2% | 4.6% | 2.5% | 0.9% |
Read a cell by its row and column: the cell in row 2, column 1 is a 2-1 home win, at 9.2%. The sixteen cells shown cover 91% of all outcomes; the remaining 9% is spread over scores with four or more goals for one side.
The most likely score is still unlikely
The biggest number in this grid is 1-1 at 12.3%. It is the single most likely result, and yet the match ends some other way almost nine times in ten. Even the three most likely scores together (1-1, 1-0 and 2-1) cover only about a third of outcomes.
That is normal. Football produces many plausible scorelines and none of them dominates. When you see “likely scores” on our tips board, read them as the front of a long queue, not as a forecast. A top score above 15% only happens in very lopsided or very low-scoring matches.
Reading other markets from the grid
The grid is useful because you can answer almost any goals question by adding cells:
- Who wins? Cells below the diagonal (home goals greater than away goals) are home wins, the diagonal is draws, and cells above it are away wins.
- How many goals? Cells on the same anti-diagonal share a total: 2-0, 1-1 and 0-2 are all two-goal games. Everything with three or more goals is “over 2.5”.
- Both teams to score? Every cell outside the first row and the first column.
- Clean sheet for the home side? The first column, where the away team scores zero.
- Winning margin? Cells on the same diagonal share a margin: 1-0, 2-1 and 3-2 are all one-goal home wins. Asian handicap lines are built this way.
On our match pages the matrix runs from 0-0 to 5-5. Very small values are shown as “<” to keep it readable, and the line under the grid tells you how much probability sits in scorelines that aren’t shown.
After the final whistle
We don’t remove the grid when a match ends. The final score is outlined in the matrix and the likely scores are marked green if one of them landed. Over a season most matches finish on a score that was not the single most likely one, and that is exactly what the probabilities predict. What matters is whether, across many matches, scores rated around 10% happen about one time in ten. Our guide to judging predictions explains how to check that.
Common mistakes
- Treating the top score as the prediction. The matrix predicts a spread of outcomes. The most useful information is often in sums (all one-goal home wins, all scores under three goals) rather than in one cell.
- Ignoring the totals. A 1-0 at 11% looks modest, but in a low-scoring match the whole first column may hold half of all outcomes.
- Over-reading small differences. 9.2% and 8.4% are effectively the same. The model’s inputs are not precise enough to separate them.
18+. Correct score markets usually carry a large bookmaker margin. Our numbers are information, not betting advice; please read our responsible gambling page.