1. SNL · Slovenia · Regular Season - 34
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
4.81
yellows per match
0.19
reds per match
37
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 75–80% in the past, 735 of 908 predictions were correct (80.9%). Accuracy record →
When the model has said 50–55% in the past, 3,617 of 7,015 predictions were correct (51.6%). 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 (15.1%).
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 689 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, 971 of 1,387 predictions were correct (70.0%). Accuracy record →
The league's historical "3+ goals" rate is 52.2%. 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: Koper score above the league average (37% more).
Opponent's defence: Aluminij concede 21% more than the league average, which pushes the expectation up.
Result: A strong attack meets a weak defence. The effects compound and the expectation rises to 2.63 goals.
Attack: Aluminij score close to the league average.
Opponent's defence: Koper concede 16% fewer than the league average, which pulls the expectation down.
Result: These two effects give an expectation of 0.82 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 690 matches played in this league before kick-off; the team with fewer has 67 matches. No data from after the match was used. The model's track record is published unfiltered.