Premier League · England · Regular Season - 25
HT 0–0
Incorrect — we gave this result 31%double 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
| Liverpool | Manchester City | |
|---|---|---|
| 15 | Shots | 17 |
| 4 | Shots on target | 7 |
| 9 | Shots inside the box | 9 |
| 5 | Goalkeeper saves | 3 |
| 5 | Corners | 4 |
| 6 | Offsides | 2 |
| 47% | Possession | 53% |
| 390 | Passes | 465 |
| 306 | Accurate passes |
4.09
yellows per match
0.13
reds per match
99
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 40–45% in the past, 1,778 of 3,998 predictions were correct (44.5%). Accuracy record →
| 393 |
| 13 | Fouls | 16 |
|---|
| 2 | Yellow cards | 4 |
|---|
| 1 | 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 65–70% in the past, 575 of 859 predictions were correct (66.9%). 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 (24.5%).
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 1389 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, 699 of 988 predictions were correct (70.7%). Accuracy record →
The league's historical "3+ goals" rate is 57.3%. 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: Liverpool score above the league average (29% more).
Opponent's defence: Manchester City concede 21% fewer than the league average, which pulls the expectation down.
Result: These two effects give an expectation of 1.58 goals (including home advantage).
Attack: Manchester City score above the league average (31% more).
Opponent's defence: Liverpool concede 18% fewer than the league average, which pulls the expectation down.
Result: These two effects give an expectation of 1.37 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 1389 matches played in this league before kick-off; the team with fewer has 138 matches. No data from after the match was used. The model's track record is published unfiltered.