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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Sp Lisbon
Estrela
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: 3–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Sp Lisbon
|
9 | 9 | 0 | 0 | +28 | +22.5 | 27 |
| 2 |
Porto
|
9 | 8 | 0 | 1 | +19 | +13.9 | 24 |
| 3 |
Benfica
|
8 | 6 | 1 | 1 | +17 | +11.1 | 19 |
| 4 |
Santa Clara
|
9 | 6 | 0 | 3 | +3 | +6.9 | 18 |
| 5 |
Sp Braga
|
9 | 5 | 2 | 2 | +9 | +5.5 | 17 |
| 6 |
Guimaraes
|
9 | 4 | 3 | 2 | +1 | +2.1 | 15 |
| 7 |
Moreirense
|
9 | 4 | 2 | 3 | +1 | +3.5 | 14 |
| 8 |
Famalicao
|
9 | 3 | 4 | 2 | +2 | -3.6 | 13 |
| 9 |
Casa Pia
|
9 | 3 | 2 | 4 | -4 | -2.8 | 11 |
| 10 |
Gil Vicente
|
9 | 2 | 4 | 3 | -3 | -3.3 | 10 |
| 11 |
Estoril
|
9 | 2 | 3 | 4 | -4 | -9.0 | 9 |
| 12 |
AVS
|
9 | 2 | 3 | 4 | -9 | -5.3 | 9 |
| 13 |
Rio Ave
|
9 | 2 | 2 | 5 | -12 | -7.0 | 8 |
| 14 |
Arouca
|
9 | 2 | 1 | 6 | -12 | -10.5 | 7 |
| 15 |
Boavista
|
9 | 1 | 3 | 5 | -7 | -3.8 | 6 |
| 16 |
Estrela
|
9 | 1 | 3 | 5 | -8 | -7.5 | 6 |
| 17 |
Nacional
|
8 | 1 | 2 | 5 | -9 | -0.8 | 5 |
| 18 |
Farense
|
9 | 1 | 1 | 7 | -12 | -11.9 | 4 |
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.
Z. Debast
D
O. Diomande
D
Gonçalo Inácio
D
Geovany Quenda
M
M. Hjulmand
M
Daniel Bragança
M
M. Araújo
M
Pote
F
V. Gyökeres
F
Coach: Ruben Amorim
Danilo Veiga
D
Ferro
D
Nilton Varela
D
Paulo Moreira
M
Coach: José Faria
Green columns are the outcomes that came in.
Famalicao
Sp Lisbon
Sturm Graz
Sp Lisbon
Portimonense
Sp Lisbon
Sp Lisbon
Casa Pia
PSV Eindhoven
Sp Lisbon
Bruno Vieira · 24 kamper i vår database
🟥 Red cards: 0,16 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.