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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Estoril
Farense
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: 2–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Benfica
|
15 | 11 | 3 | 1 | +18 | +17.5 | 36 |
| 2 |
Sp Lisbon
|
14 | 11 | 1 | 2 | +15 | +12.3 | 34 |
| 3 |
Porto
|
15 | 11 | 1 | 3 | +11 | +8.5 | 34 |
| 4 |
Sp Braga
|
14 | 9 | 2 | 3 | +15 | +10.8 | 29 |
| 5 |
Guimaraes
|
15 | 9 | 2 | 4 | +8 | +2.6 | 29 |
| 6 |
Moreirense
|
15 | 7 | 5 | 3 | +7 | +0.1 | 26 |
| 7 |
Farense
|
14 | 5 | 3 | 6 | +4 | -8.0 | 18 |
| 8 |
Famalicao
|
15 | 4 | 6 | 5 | -5 | -5.0 | 18 |
| 9 |
Arouca
|
15 | 4 | 4 | 7 | +2 | +0.9 | 16 |
| 10 |
Casa Pia
|
14 | 4 | 4 | 6 | -4 | -3.7 | 16 |
| 11 |
Estrela
|
15 | 4 | 4 | 7 | -6 | -5.5 | 16 |
| 12 |
Boavista
|
14 | 4 | 4 | 6 | -7 | -5.0 | 16 |
| 13 |
Portimonense
|
14 | 4 | 3 | 7 | -16 | -7.0 | 15 |
| 14 |
Estoril
|
14 | 4 | 2 | 8 | +1 | -4.9 | 14 |
| 15 |
Gil Vicente
|
14 | 3 | 3 | 8 | -4 | -6.0 | 12 |
| 16 |
Rio Ave
|
15 | 2 | 6 | 7 | -8 | +3.5 | 12 |
| 17 |
Vizela
|
15 | 2 | 6 | 7 | -8 | -3.1 | 12 |
| 18 |
Chaves
|
15 | 3 | 1 | 11 | -23 | -7.9 | 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.
Bernardo Vital
D
Rodrigo Gomes
M
J. Holsgrove
M
Mateus Fernandes
M
Tiago Araújo
M
R. Guitane
F
Cassiano
F
Coach: Vasco Seabra
Ricardo Velho
G
M. Belloumi
M
Coach: José Mota
Green columns are the outcomes that came in.
Famalicao
Estoril
Estoril
Chaves
Sp Braga
Estoril
Estoril
Mafra
Estoril
Casa Pia
Ricardo Baixinho · 37 kamper i vår database
🟥 Red cards: 0,47 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.