LaLiga2
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Alaves
Santander
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Eibar
|
24 | 13 | 7 | 4 | +10 | 46 |
| 2 |
Las Palmas
|
24 | 12 | 9 | 3 | +14 | 45 |
| 3 |
Levante
|
23 | 10 | 10 | 3 | +11 | 40 |
| 4 |
Burgos
|
24 | 10 | 9 | 5 | +8 | 39 |
| 5 |
Granada
|
24 | 11 | 5 | 8 | +10 | 38 |
| 6 |
Alaves
|
23 | 10 | 7 | 6 | +2 | 37 |
| 7 |
Albacete
|
23 | 9 | 9 | 5 | +3 | 36 |
| 8 |
Leganes
|
23 | 9 | 6 | 8 | +2 | 33 |
| 9 |
Cartagena
|
23 | 9 | 6 | 8 | +1 | 33 |
| 10 |
Andorra
|
23 | 9 | 5 | 9 | +6 | 32 |
| 11 |
Mirandes
|
24 | 7 | 9 | 8 | -1 | 30 |
| 12 |
Huesca
|
23 | 7 | 9 | 7 | -1 | 30 |
| 13 |
Oviedo
|
23 | 8 | 6 | 9 | -3 | 30 |
| 14 |
Zaragoza
|
23 | 7 | 8 | 8 | +0 | 29 |
| 15 |
Sp Gijon
|
23 | 6 | 10 | 7 | -2 | 28 |
| 16 |
Villarreal B
|
23 | 7 | 7 | 9 | -4 | 28 |
| 17 |
Tenerife
|
23 | 6 | 9 | 8 | -2 | 27 |
| 18 |
Santander
|
23 | 6 | 7 | 10 | -2 | 25 |
| 19 |
Ponferradina
|
24 | 6 | 7 | 11 | -9 | 25 |
| 20 |
Malaga
|
24 | 4 | 9 | 11 | -10 | 21 |
| 21 |
Lugo
|
23 | 5 | 6 | 12 | -11 | 21 |
| 22 |
Ibiza
|
24 | 4 | 4 | 16 | -22 | 16 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
Sivera
G
N. Tenaglia
D
Antonio Blanco
M
A. Rebbach
M
Jon Guridi
M
Luis Rioja
M
Coach: Luis García
Rubén González
D
Íñigo Sainz Maza
M
Aritz Aldasoro
M
Jordi Mboula
M
Jorge Pombo
M
Iñigo Vicente
M
Coach: Guillermo Fernández
Green columns are the outcomes that came in.
Alaves
Sevilla
Oviedo
Alaves
Alaves
Burgos
Alaves
Valladolid
Mérida AD
Alaves
Dámaso Arcediano · 70 kamper i vår database
🟥 Red cards: 0,24 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.