UEFA Champions League · League Stage - 2
HT 1–4
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
| Pafos | Bayern München | |
|---|---|---|
| 6 | Shots | 26 |
| 2 | Shots on target | 15 |
| 4 | Shots inside the box | 21 |
| 10 | Goalkeeper saves | 1 |
| 2 | Corners | 6 |
| 0 | Offsides | 0 |
| 33% | Possession | 67% |
| 352 | Passes | 720 |
| 265 | Accurate passes |
There's no card data for this referee from before this match yet. We don't invent an average; it will appear here once the data exists.
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 70–75% in the past, 560 of 732 predictions were correct (76.5%). Accuracy record →
| 640 |
| 11 | Fouls | 9 |
|---|
| 1 | Yellow cards | 0 |
|---|
| 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, 469 of 1,102 predictions were correct (42.6%). 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 (17.5%).
The 3+ goals prediction is not published for this match.
The model gives a probability below the baseline (55.2%). 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: Pafos score above the league average (36% more).
Opponent's defence: Bayern München concede 41% below the league average — a defence that seriously brakes even a strong attack.
Result: A strong attack meets a strong defence. The two largely cancel and the expectation drops to 0.70 goals — markedly lower than the attack alone would promise.
Attack: Bayern München score 68% more than the league's average team — one of the sharpest attacks in the league.
Opponent's defence: Pafos concede 45% below the league average — a defence that seriously brakes even a strong attack.
Result: A strong attack meets a strong defence. The two largely cancel and the expectation drops to 2.19 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 1633 matches played in this league before kick-off; the team with fewer has 107 matches. No data from after the match was used. The model's track record is published unfiltered.
Week 2 of the season. This prediction was computed from previous seasons. Summer transfers, budget changes and squad rebuilds aren't in the ratings yet — the model can only see that a team has been rebuilt once new results come in.
We measured this: the bias is only pronounced in the opening week. In this week the model's overall accuracy does not separate from the rest of the season — that is, we found no measurable flaw. The one tendency across all opening weeks is that home wins are called slightly too often (said 43.0%, got 41.9%; n=583).
This sample is small and not statistically established, which is why we do not correct the model for it. The correction we tried (pulling probabilities toward the league average) didn't win on holdout, so it wasn't added. Read opening-week predictions with a little more caution.