Ligat Ha'al · Israel · Championship Group - 30
HT 3–2
Too close to call — only 2.9% between the top twodouble chance: correct
This verdict goes into the public record unchanged; we do not filter out the ones we get wrong. The model's track record
| Beitar Jerusalem | Maccabi Tel Aviv | |
|---|---|---|
| 16 | Shots | 6 |
| 8 | Shots on target | 2 |
| 13 | Shots inside the box | 4 |
| 0 | Goalkeeper saves | 4 |
| 9 | Corners | 4 |
| 3 | Offsides | 2 |
| 54% | Possession | 46% |
| 317 | Passes | 266 |
| 255 | Accurate passes |
4.67
yellows per match
0.30
reds per match
73
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, 2,090 of 5,638 predictions were correct (37.1%). Accuracy record →
| 198 |
| 16 | Fouls | 13 |
|---|
| 1 | Yellow cards | 5 |
|---|
| 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 65–70% in the past, 764 of 1,176 predictions were correct (65.0%). 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 (25.7%).
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 826 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 60–65% in the past, 1,726 of 2,749 predictions were correct (62.8%). Accuracy record →
The league's historical "3+ goals" rate is 50.3%. 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: Beitar Jerusalem score above the league average (41% more).
Opponent's defence: Maccabi Tel Aviv 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 1.53 goals — markedly lower than the attack alone would promise.
Attack: Maccabi Tel Aviv score above the league average (45% more).
Opponent's defence: Beitar Jerusalem concede 17% fewer than the league average, which pulls the expectation down.
Result: These two effects give an expectation of 1.59 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 827 matches played in this league before kick-off; the team with fewer has 117 matches. No data from after the match was used. The model's track record is published unfiltered.