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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Ferrol
Levante
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: 0–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Santander
|
15 | 11 | 3 | 1 | +13 | 36 |
| 2 |
Oviedo
|
15 | 7 | 5 | 3 | +5 | 26 |
| 3 |
Sp Gijon
|
15 | 7 | 4 | 4 | +7 | 25 |
| 4 |
Granada
|
15 | 7 | 4 | 4 | +5 | 25 |
| 5 |
Mirandes
|
15 | 7 | 4 | 4 | +4 | 25 |
| 6 |
Zaragoza
|
15 | 7 | 3 | 5 | +7 | 24 |
| 7 |
Levante
|
13 | 6 | 4 | 3 | +4 | 22 |
| 8 |
Elche
|
15 | 6 | 4 | 5 | +3 | 22 |
| 9 |
Almeria
|
14 | 6 | 4 | 4 | +1 | 22 |
| 10 |
Malaga
|
14 | 4 | 9 | 1 | +1 | 21 |
| 11 |
Eibar
|
15 | 6 | 3 | 6 | -1 | 21 |
| 12 |
Castellon
|
14 | 6 | 2 | 6 | +2 | 20 |
| 13 |
Huesca
|
15 | 5 | 4 | 6 | +3 | 19 |
| 14 |
Eldense
|
15 | 5 | 3 | 7 | -3 | 18 |
| 15 |
Albacete
|
15 | 4 | 5 | 6 | -4 | 17 |
| 16 |
Cadiz
|
15 | 4 | 5 | 6 | -4 | 17 |
| 17 |
La Coruna
|
15 | 4 | 4 | 7 | +0 | 16 |
| 18 |
Cordoba
|
14 | 4 | 4 | 6 | -4 | 16 |
| 19 |
Burgos
|
15 | 4 | 3 | 8 | -8 | 15 |
| 20 |
Ferrol
|
14 | 2 | 6 | 6 | -8 | 12 |
| 21 |
Tenerife
|
14 | 2 | 4 | 8 | -9 | 10 |
| 22 |
Cartagena
|
15 | 3 | 1 | 11 | -14 | 10 |
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.
Coach: Cristóbal
Andrés Fernández
G
Andrés García
D
Unai Elgezabal
D
Adrián de la Fuente
D
Diego Pampín
D
Oriol Rey
M
G. Kochorashvili
M
Carlos Álvarez
M
Pablo Martínez
M
Iván Romero
F
Coach: Julián Calero
Green columns are the outcomes that came in.
Eibar
Ferrol
Ferrol
Santander
Cuarte
Ferrol
Ferrol
Tenerife
Burgos
Ferrol
Manuel Orellana · 46 kamper i vår database
🟥 Red cards: 0,19 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.