Club Atlético de Madrid
#23 · 4 pts
0–2
FC Bayern München
#13 · 8 pts
AI prediction
No model prediction was made for this match.
Form & stats this competition season
| Atleti | Bayern | |
|---|---|---|
| Table position | #23 · 4 pts | #13 · 8 pts |
| Last 5 (newest first) | LDWL | WDDW |
| Home W-D-L (goals) | 1-0-1 (2:2) | 1-1-0 (7:2) |
| Away W-D-L (goals) | 0-1-1 (2:3) | 1-1-0 (5:3) |
| Goals per game at home (for/against) | 1.00 / 1.00 | 3.50 / 1.00 |
| Goals per game away (for/against) | 1.00 / 1.50 | 2.50 / 1.50 |
| xG | n/a | n/a |
xG is not available from the current data source (football-data.org). Competition averages: 2.32 home and 1.72 away goals per match (72 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.