Allsvenskan · Sweden · Regular Season - 15
HT 1–0
| Gais | Hammarby FF | |
|---|---|---|
| 16 | Shots | 17 |
| 7 | Shots on target | 3 |
| 11 | Shots inside the box | 10 |
| 3 | Goalkeeper saves | 5 |
| 2 | Corners | 3 |
| 1 | Offsides | 1 |
| 36% | Possession | 64% |
| 365 | Passes | 653 |
| 265 | Accurate passes |
3.00
yellows per match
0.12
reds per match
33
matches of data
This is a prediction, not a guarantee; a probability is not a certainty.
These sentences are built by a fixed template; every number in them comes straight from the model's computation, none invented while the text was written.
When the model has said 35–40% in the past, 1,562 of 4,187 predictions were correct (37.3%). Accuracy record →
| 564 |
| 16 | Fouls | 11 |
|---|
| 2 | Yellow cards | 2 |
|---|
| 0 | Red cards | 1 |
|---|
The measurements our data provider sent for this match. A row that was not measured shows “—”; writing 0 into an empty field would claim we measured it and found none.
When the model has said 55–60% in the past, 2,566 of 4,458 predictions were correct (57.6%). Accuracy record →
These three values add up to 200%, not 100% — and that is not a mistake. The options are not mutually exclusive; every outcome is counted in two of them. For the same reason 1X plus X2 exceeds 100% by exactly the probability of a draw (28.1%).
First-half double chance
These values are not a fraction of the full-match prediction; they come from a separate model trained on the first-half scores of 1024 matches. Its edge over the base rate is markedly smaller than the full-match model's — the measured figure is on the accuracy record. Read them more cautiously. First-half goal markets are not published because they failed to beat the base rate.
Fouls
Corners
These figures are set to hold in at least 60% of matches; in the rest the count comes in below them. No upper bound is stated — we make no "at most" claim. Yellow cards were measured and are not published: there our model did not beat the historical average.
The 3+ goals prediction is not published for this match.
The model gives a probability below the baseline (53.4%). In backtesting the model's edge in the "fewer goals" direction could not be confirmed; we don't publish an unconfirmed prediction.
Expected goals comes out of a team's attack weighed against its opponent's defence. A strong attack is damped when it meets a strong defence — which is why comparing the ratings on their own is misleading.
Attack: Gais score close to the league average.
Opponent's defence: Hammarby FF concede 28% fewer than the league average, which pulls the expectation down.
Result: These two effects give an expectation of 1.30 goals (including home advantage).
Attack: Hammarby FF score above the league average (32% more).
Opponent's defence: Gais concede 27% fewer than the league average, which pulls the expectation down.
Result: A strong attack meets a strong defence. The two largely cancel and the expectation drops to 1.36 goals — markedly lower than the attack alone would promise.
A single scoreline is always less likely than an outcome: “home win” is the sum of 1-0, 2-0, 2-1 and dozens more. So the most likely single score can be a draw while the most likely outcome is a home win; the two do not contradict each other.
Ratings were computed from 1024 matches played in this league before kick-off; the team with fewer has 68 matches. No data from after the match was used. The model's track record is published unfiltered.