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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Sp Gijon
Oviedo
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
|
26 | 13 | 8 | 5 | +20 | 47 |
| 2 |
Eibar
|
25 | 12 | 6 | 7 | +11 | 42 |
| 3 |
Ferrol
|
25 | 11 | 9 | 5 | +5 | 42 |
| 4 |
Espanol
|
25 | 11 | 8 | 6 | +11 | 41 |
| 5 |
Valladolid
|
25 | 12 | 4 | 9 | +3 | 40 |
| 6 |
Elche
|
26 | 11 | 7 | 8 | +2 | 40 |
| 7 |
Sp Gijon
|
25 | 10 | 9 | 6 | +8 | 39 |
| 8 |
Oviedo
|
25 | 9 | 11 | 5 | +10 | 38 |
| 9 |
Levante
|
26 | 9 | 11 | 6 | +1 | 38 |
| 10 |
Zaragoza
|
25 | 9 | 9 | 7 | +5 | 36 |
| 11 |
Santander
|
25 | 10 | 6 | 9 | +2 | 36 |
| 12 |
Burgos
|
25 | 10 | 6 | 9 | +0 | 36 |
| 13 |
Eldense
|
26 | 8 | 11 | 7 | -2 | 35 |
| 14 |
Mirandes
|
25 | 8 | 9 | 8 | +3 | 33 |
| 15 |
Tenerife
|
25 | 9 | 6 | 10 | -1 | 33 |
| 16 |
Huesca
|
26 | 6 | 10 | 10 | -2 | 28 |
| 17 |
Albacete
|
25 | 6 | 8 | 11 | -9 | 26 |
| 18 |
Cartagena
|
25 | 6 | 7 | 12 | -11 | 25 |
| 19 |
Villarreal B
|
25 | 6 | 7 | 12 | -14 | 25 |
| 20 |
Alcorcon
|
25 | 6 | 7 | 12 | -14 | 25 |
| 21 |
Andorra
|
25 | 6 | 6 | 13 | -12 | 24 |
| 22 |
Amorebieta
|
26 | 4 | 7 | 15 | -16 | 19 |
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.
Pablo García
D
J. Otero
M
Gaspar Campos
M
Coach: Miguel Ángel Ramírez
Leo Román
G
Oier Luengo
D
Dani Calvo
D
Abel Bretones
D
J. Dubasin
M
Coach: Luis Carrión
Green columns are the outcomes that came in.
Zaragoza
Sp Gijon
Sp Gijon
Ferrol
Tenerife
Sp Gijon
Sp Gijon
Huesca
Eibar
Sp Gijon
Jon González · 71 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.