Eliteserien · Norway · Regular Season - 21
HT 1–0
Prediction correct
This verdict goes into the public record unchanged; we do not filter out the ones we get wrong. The model's track record
| Bodo/Glimt | Sandefjord | |
|---|---|---|
| 28 | Shots | 10 |
| 10 | Shots on target | 4 |
| 21 | Shots inside the box | 7 |
| 2 | Goalkeeper saves | 6 |
| 10 | Corners | 2 |
| 2 | Offsides | 0 |
| 65% | Possession | 35% |
| 715 | Passes | 390 |
| 652 | Accurate passes |
3.00
yellows per match
0.00
reds per match
1
matches of data
1 matches is a small sample — these averages are noisy and should not be read as a tendency.
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 80–85% in the past, 501 of 593 predictions were correct (84.5%). Accuracy record →
| 319 |
| 9 | Fouls | 12 |
|---|
| 0 | Yellow cards | 3 |
|---|
| 0 | Red cards | 0 |
|---|
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 40–45% in the past, 838 of 1,955 predictions were correct (42.9%). 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 (11.8%).
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 1118 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.
When the model has said 65–70% in the past, 1,017 of 1,454 predictions were correct (69.9%). Accuracy record →
The league's historical "3+ goals" rate is 60.7%. For this match the model gives a value above that baseline — and in backtesting the model's edge was confirmed only in this direction.
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: Bodo/Glimt score 58% more than the league's average team — one of the sharpest attacks in the league.
Opponent's defence: Sandefjord's defence is close to the league average (0.97×), so it doesn't move the expectation much.
Result: These two effects give an expectation of 2.78 goals (including home advantage).
Attack: Sandefjord score below the league average (21% fewer).
Opponent's defence: Bodo/Glimt concede 38% below the league average — a defence that seriously brakes even a strong attack.
Result: These two effects give an expectation of 0.59 goals (including the away penalty).
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 1118 matches played in this league before kick-off; the team with fewer has 139 matches. No data from after the match was used. The model's track record is published unfiltered.