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UEFA Europa League · League Stage - 2

Feyenoord–Aston Villa

0–2

HT 0–0

Kick-off
Thursday, 2 October 2025 at 19:00
Status
Match Finished
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What the model said, and what happened

✗ Incorrect — we gave this result 27%✓ 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

Goals and red cards

  • 61'⚽Aston VillaE. Buendía (assist: B. Kamara)
  • 79'⚽Aston VillaJ. McGinn

Match statistics

Match statistics
FeyenoordAston Villa
19Shots6
8Shots on target3
12Shots inside the box2
1Goalkeeper saves8
8Corners1
2Offsides2
41%Possession59%
339Passes530
290Accurate passes

What we expected, and what happened

  • Expected goals before kick-off: Feyenoord 1.63 · Aston Villa 1.15. On the pitch: 0-2.
  • Shots Feyenoord 19 · Aston Villa 6; on target 8 and 3.
  • Aston Villa kept the ball more (59%).

Referee

Rade Obrenovič, Slovenia→

2.00

yellows per match

0.00

reds per match

1

matches of data

1 matches is a small sample — these averages are noisy and should not be read as a tendency.

Model prediction

Why this prediction?

  • ·The model puts the most likely outcome at 48.9%: “Feyenoord to win”. Second comes “Aston Villa to win” at 27.2%.
  • ·Behind that distribution are the expected goals: 1.63 for Feyenoord, 1.15 for Aston Villa.
  • ·The highest double chance value is 76.1% (12 — any result other than a draw).
  • ·These values were computed from 2,181 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.

Feyenoord to win48.9%
Draw23.9%
Aston Villa to win27.2%

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

472
17Fouls10
3Yellow cards3
0Red cards0

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.

Both teams to score
54.6%

When the model has said 50–55% in the past, 3,625 of 7,026 predictions were correct (51.6%). Accuracy record →

Double chance

1X — Feyenoord win or draw72.8%
12 — any result other than a draw76.1%
X2 — draw or Aston Villa win51.1%

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 (23.9%).

Goals market

The 3+ goals prediction is not published for this match.

The model gives a probability below the baseline (54.4%). In backtesting the model's edge in the "fewer goals" direction could not be confirmed; we don't publish an unconfirmed prediction.

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.

How many goals Feyenoord score1.63

Attack: Feyenoord score above the league average (36% more).

Opponent's defence: Aston Villa's defence is close to the league average (0.95×), so it doesn't move the expectation much.

Result: These two effects give an expectation of 1.63 goals (including home advantage).

How many goals Aston Villa score1.15

Attack: Aston Villa score close to the league average.

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

Result: These two effects give an expectation of 1.15 goals (including the away penalty).

Most likely scorelines

1–111.3%1–010.5%2–19.5%

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 2181 matches played in this league before kick-off; the team with fewer has 109 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.