Primeira Liga
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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Farense
Benfica
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: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Sp Lisbon
|
30 | 26 | 2 | 2 | +60 | +38.2 | 80 |
| 2 |
Benfica
|
29 | 22 | 4 | 3 | +42 | +34.6 | 70 |
| 3 |
Porto
|
30 | 19 | 5 | 6 | +31 | +28.0 | 62 |
| 4 |
Sp Braga
|
30 | 19 | 5 | 6 | +22 | +20.9 | 62 |
| 5 |
Guimaraes
|
30 | 17 | 6 | 7 | +13 | +6.2 | 57 |
| 6 |
Arouca
|
30 | 13 | 5 | 12 | +11 | +1.0 | 44 |
| 7 |
Moreirense
|
30 | 12 | 7 | 11 | -4 | -1.4 | 43 |
| 8 |
Famalicao
|
30 | 8 | 12 | 10 | -5 | -10.6 | 36 |
| 9 |
Casa Pia
|
30 | 8 | 8 | 14 | -13 | -10.4 | 32 |
| 10 |
Farense
|
29 | 8 | 7 | 14 | -3 | -8.6 | 31 |
| 11 |
Rio Ave
|
30 | 5 | 16 | 9 | -6 | +1.4 | 31 |
| 12 |
Gil Vicente
|
30 | 8 | 7 | 15 | -11 | -10.0 | 31 |
| 13 |
Estoril
|
30 | 8 | 6 | 16 | -7 | -11.6 | 30 |
| 14 |
Boavista
|
30 | 7 | 9 | 14 | -21 | -17.5 | 30 |
| 15 |
Estrela
|
30 | 6 | 11 | 13 | -14 | -7.6 | 29 |
| 16 |
Portimonense
|
30 | 7 | 7 | 16 | -30 | -21.1 | 28 |
| 17 |
Chaves
|
30 | 5 | 8 | 17 | -32 | -19.0 | 23 |
| 18 |
Vizela
|
30 | 4 | 9 | 17 | -33 | -12.6 | 21 |
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.
Ricardo Velho
G
M. Belloumi
M
Coach: José Mota
A. Trubin
G
A. Bah
D
António Silva
D
Álvaro Fernández
D
Florentino
M
João Mário
M
O. Kökçü
M
Tiago Gouveia
M
Coach: R. Schmidt
Green columns are the outcomes that came in.
Guimaraes
Farense
Farense
Boavista
Arouca
Farense
Farense
Rio Ave
Vizela
Farense
Gustavo Correia · 111 kamper i vår database
🟥 Red cards: 0,39 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.