AI prediction · locked November 5, 2026 3:15 pm
Model pick 1–0
Result after 90 minutes: 0–0. The model tipped 1–0 and scored 0 points.
Most likely scores
Why
The model expects Espanyol to score 1.41 goals: league home average 1.71 × Espanyol home attack 0.85 × Deportivo away defence 0.97.
It expects Deportivo to score 1.40 goals: league away average 1.30 × Deportivo away attack 1.04 × Espanyol home defence 1.04.
Based on 5 home games for Espanyol, 5 away games for Deportivo 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).
The outcome is close to a toss-up according to the model – treat the pick with extra caution.
Form & stats this competition season
| Espanyol | Deportivo | |
|---|---|---|
| Table position | #13 · 12 pts | #9 · 15 pts |
| Last 5 (newest first) | DWLLD | DWLDL |
| Home W-D-L (goals) | 1-2-3 (6:7) | 2-3-1 (8:6) |
| Away W-D-L (goals) | 2-1-3 (7:7) | 1-3-2 (7:8) |
| Goals per game at home (for/against) | 1.00 / 1.17 | 1.33 / 1.00 |
| Goals per game away (for/against) | 1.17 / 1.17 | 1.17 / 1.33 |
| 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.