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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Eldense
Amorebieta
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 |
Leganes
|
12 | 8 | 1 | 3 | +14 | 25 |
| 2 |
Eibar
|
13 | 8 | 1 | 4 | +8 | 25 |
| 3 |
Espanol
|
12 | 7 | 2 | 3 | +10 | 23 |
| 4 |
Levante
|
12 | 6 | 5 | 1 | +6 | 23 |
| 5 |
Tenerife
|
12 | 7 | 2 | 3 | +5 | 23 |
| 6 |
Valladolid
|
13 | 7 | 1 | 5 | +0 | 22 |
| 7 |
Santander
|
12 | 6 | 3 | 3 | +6 | 21 |
| 8 |
Sp Gijon
|
12 | 6 | 3 | 3 | +5 | 21 |
| 9 |
Zaragoza
|
12 | 6 | 2 | 4 | +4 | 20 |
| 10 |
Ferrol
|
12 | 4 | 5 | 3 | -1 | 17 |
| 11 |
Burgos
|
12 | 5 | 1 | 6 | -2 | 16 |
| 12 |
Elche
|
12 | 4 | 4 | 4 | -4 | 16 |
| 13 |
Oviedo
|
12 | 3 | 5 | 4 | +2 | 14 |
| 14 |
Mirandes
|
12 | 4 | 2 | 6 | -2 | 14 |
| 15 |
Albacete
|
12 | 4 | 2 | 6 | -6 | 14 |
| 16 |
Villarreal B
|
12 | 3 | 4 | 5 | -2 | 13 |
| 17 |
Eldense
|
12 | 3 | 4 | 5 | -6 | 13 |
| 18 |
Andorra
|
12 | 4 | 1 | 7 | -6 | 13 |
| 19 |
Amorebieta
|
12 | 2 | 4 | 6 | -7 | 10 |
| 20 |
Alcorcon
|
12 | 2 | 4 | 6 | -9 | 10 |
| 21 |
Huesca
|
12 | 1 | 5 | 6 | -6 | 8 |
| 22 |
Cartagena
|
12 | 1 | 3 | 8 | -9 | 6 |
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.
Toni Abad
D
Carlos Hernández
D
Marc Mateu
D
Sergio Ortu
M
Iván Chapela
M
Mario Soberón
F
Coach: Fernando Estévez
Pablo Cuñat
G
Álvaro Núñez
D
Manu Hernando
D
Coach: Haritz Mújika
Green columns are the outcomes that came in.
Ferrol
Eldense
Eldense
Elche
Huesca
Eldense
Eldense
Valladolid
Eldense
Oviedo
Daniel Trujillo · 44 kamper i vår database
🟥 Red cards: 0,26 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.