Denmark–Switzerland

2–0

HT 0–0

Kick-off: Thursday, 5 September 2024 at 18:45
Status: Match Finished
Venue: Parken Stadium, Copenhagen

What the model said, and what happened

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

Referee

Daniel Siebert, Germany→

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.

Model prediction

Why this prediction?

The model puts the most likely outcome at 48.4%: “Denmark to win”. Second comes “a draw” at 28.0%.
The highest double chance value is 76.4% (1X — Denmark win or draw).
These values were computed from 4,355 past matches.

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.

Denmark to win48.4%

Draw28.0%

Switzerland to win23.6%

When the model has said 45–50% in the past, 2,111 of 4,488 predictions were correct (47.0%). Accuracy record →

Double chance

1X — Denmark win or draw

What these probabilities rest on

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.

Denmark

Attack: Denmark score above the league average (40% more).

Opponent's defence: Switzerland concede 35% below the league average — a defence that seriously brakes even a strong attack.

Switzerland

Attack: Switzerland score 54% more than the league's average team — one of the sharpest attacks in the league.

Opponent's defence: Denmark concede 45% below the league average — a defence that seriously brakes even a strong attack.

Week 1 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 and we're not hiding it: in the opening week of past seasons the model came in 3.3 points below the accuracy it claimed (n=220) — for the rest of the season it beats its own claim. The tendency points this way, though it is not proof on its own: in the opening week it slightly over-calls home wins (said 42.7%, got 39.5%) and slightly under-calls draws (said 26.1%, got 28.2%).

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.