AI prediction · locked November 5, 2026 5:30 pm
Model pick 1–0
Result after 90 minutes: 1–1. The model tipped 1–0 and scored 0 points.
Most likely scores
Why
The model expects Osasuna to score 1.10 goals: league home average 1.71 × Osasuna home attack 0.73 × Athletic away defence 0.88.
It expects Athletic to score 0.77 goals: league away average 1.30 × Athletic away attack 0.81 × Osasuna home defence 0.73.
Based on 5 home games for Osasuna, 4 away games for Athletic 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: Osasuna (43%). This is an estimate, not a certainty.
Form & stats this competition season
| Osasuna | Athletic | |
|---|---|---|
| Table position | #16 · 12 pts | #7 · 16 pts |
| Last 5 (newest first) | DLLWL | DWWLD |
| Home W-D-L (goals) | 2-3-1 (5:4) | 3-2-1 (11:5) |
| Away W-D-L (goals) | 1-0-5 (7:19) | 1-2-2 (4:6) |
| Goals per game at home (for/against) | 0.83 / 0.67 | 1.83 / 0.83 |
| Goals per game away (for/against) | 1.17 / 3.17 | 0.80 / 1.20 |
| 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.