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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Nacional
Sp Lisbon
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 |
Porto
|
2 | 2 | 0 | 0 | +5 | +3.7 | 6 |
| 2 |
Sp Lisbon
|
1 | 1 | 0 | 0 | +2 | +2.5 | 3 |
| 3 |
Famalicao
|
1 | 1 | 0 | 0 | +2 | +0.7 | 3 |
| 4 |
Santa Clara
|
2 | 1 | 0 | 1 | +1 | +2.2 | 3 |
| 5 |
Moreirense
|
1 | 1 | 0 | 0 | +1 | +0.8 | 3 |
| 6 |
Guimaraes
|
1 | 1 | 0 | 0 | +1 | +0.6 | 3 |
| 7 |
Boavista
|
1 | 1 | 0 | 0 | +1 | +0.2 | 3 |
| 8 |
Gil Vicente
|
2 | 1 | 0 | 1 | -1 | -2.4 | 3 |
| 9 |
Rio Ave
|
2 | 1 | 0 | 1 | -1 | -1.7 | 3 |
| 10 |
Sp Braga
|
1 | 0 | 1 | 0 | +0 | +0.7 | 1 |
| 11 |
Estrela
|
1 | 0 | 1 | 0 | +0 | -0.7 | 1 |
| 12 |
Nacional
|
1 | 0 | 1 | 0 | +0 | -0.5 | 1 |
| 13 |
AVS
|
2 | 0 | 1 | 1 | -2 | -0.5 | 1 |
| 14 |
Arouca
|
1 | 0 | 0 | 1 | -1 | -0.6 | 0 |
| 15 |
Casa Pia
|
1 | 0 | 0 | 1 | -1 | -0.2 | 0 |
| 16 |
Farense
|
2 | 0 | 0 | 2 | -2 | -1.6 | 0 |
| 17 |
Benfica
|
1 | 0 | 0 | 1 | -2 | -0.7 | 0 |
| 18 |
Estoril
|
1 | 0 | 0 | 1 | -3 | -2.6 | 0 |
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.
Lucas França
G
Gustavo Garcia
D
Matheus Dias
D
Zé Vitor
D
José Gomes
D
N. Thomas
M
Adrián Butzke
F
Coach: Tiago Margarido
V. Kovačević
G
Eduardo Quaresma
D
O. Diomande
D
Gonçalo Inácio
D
Geovany Quenda
M
H. Morita
M
Daniel Bragança
M
Geny Catamo
M
V. Gyökeres
F
Pote
F
Coach: Ruben Amorim
Green columns are the outcomes that came in.
AVS
Nacional
Santa Clara
Nacional
Nacional
Casa Pia
Nacional
Mirandela
Portosantense
Nacional
Luís Godinho · 162 kamper i vår database
🟥 Red cards: 0,28 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.