Hungary–Russia

2–3

HT 0–2

Kick-off: Sunday, 6 September 2020 at 16:00
Status: Match Finished

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

Maurizio Mariani, Italy→

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 51.5%: “Russia to win”. Second comes “a draw” at 26.1%.
The highest double chance value is 77.6% (X2 — draw or Russia win).
These values were computed from 1,489 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.

Hungary to win22.4%

Draw26.1%

Russia to win51.5%

When the model has said 50–55% in the past, 1,836 of 3,546 predictions were correct (51.8%). Accuracy record →

Double chance

1X — Hungary 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.

Hungary

Attack: Hungary score close to the league average.

Opponent's defence: Russia concede 33% below the league average — a defence that seriously brakes even a strong attack.

Russia

Attack: Russia score 55% more than the league's average team — one of the sharpest attacks in the league.

Opponent's defence: Hungary's defence is close to the league average (0.92×), so it doesn't move the expectation much.

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.