AI prediction · locked November 6, 2026 5:30 pm
Model pick 1–0
Result after 90 minutes: 2–0. The model tipped 1–0 and scored 1 point.
Most likely scores
Why
The model expects Villarreal to score 1.75 goals: league home average 1.71 × Villarreal home attack 0.85 × Getafe away defence 1.20.
It expects Getafe to score 0.68 goals: league away average 1.30 × Getafe away attack 0.50 × Villarreal home defence 1.04.
Based on 5 home games for Villarreal, 5 away games for Getafe and 109 finished matches in the competition.
Attack above 1.00 means scoring more than the league average; defence above 1.00 means conceding more than average (weaker).
Most likely outcome: Villarreal (63%). This is an estimate, not a certainty.
Form & stats this competition season
| Villarreal | Getafe | |
|---|---|---|
| Table position | #8 · 15 pts | #15 · 12 pts |
| Last 5 (newest first) | WLWDL | LWLDL |
| Home W-D-L (goals) | 2-1-3 (8:7) | 3-3-0 (8:4) |
| Away W-D-L (goals) | 2-2-2 (9:8) | 0-0-6 (0:14) |
| Goals per game at home (for/against) | 1.33 / 1.17 | 1.33 / 0.67 |
| Goals per game away (for/against) | 1.50 / 1.33 | 0.00 / 2.33 |
| xG | n/a | n/a |
xG is not available from the current data source (football-data.org). Competition averages: 1.61 home and 1.28 away goals per match (119 finished matches).
Model assumptions & limitations
Assumptions
- Goals for each team follow independent Poisson distributions.
- Expected goals (λ) = league average home/away goals × attack strength × opponent defence strength.
- Strengths use only this competition and season: home form for the home side, away form for the away side. If either team has too few home/away games, overall form (all games) is used instead and this is stated in the explanation.
- Strengths are shrunk towards the league average when few games have been played.
- Predictions are for the score after regular time (90 minutes plus stoppage time).
- The model's tipped score is the one with the highest expected points under the game's scoring system, not necessarily the most likely single score.
Limitations
- No injuries, suspensions, line-ups, transfers, rotation or motivation are considered.
- No xG or shot data is used – the current data source does not provide it.
- Results in other competitions (e.g. domestic league for Champions League teams) are not included.
- Independent Poisson models tend to slightly underestimate draws.
- Probabilities are estimates with considerable uncertainty, not facts or guarantees.