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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Santa Clara
Porto
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: 0–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Santa Clara
|
1 | 1 | 0 | 0 | +3 | +2.6 | 3 |
| 2 |
Porto
|
1 | 1 | 0 | 0 | +3 | +3.4 | 3 |
| 3 |
Sp Lisbon
|
1 | 1 | 0 | 0 | +2 | +2.5 | 3 |
| 4 |
Famalicao
|
1 | 1 | 0 | 0 | +2 | +0.7 | 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 |
Sp Braga
|
1 | 0 | 1 | 0 | +0 | +0.7 | 1 |
| 9 |
Estrela
|
1 | 0 | 1 | 0 | +0 | -0.7 | 1 |
| 10 |
AVS
|
1 | 0 | 1 | 0 | +0 | +0.5 | 1 |
| 11 |
Nacional
|
1 | 0 | 1 | 0 | +0 | -0.5 | 1 |
| 12 |
Farense
|
1 | 0 | 0 | 1 | -1 | -0.8 | 0 |
| 13 |
Arouca
|
1 | 0 | 0 | 1 | -1 | -0.6 | 0 |
| 14 |
Casa Pia
|
1 | 0 | 0 | 1 | -1 | -0.2 | 0 |
| 15 |
Rio Ave
|
1 | 0 | 0 | 1 | -2 | -2.5 | 0 |
| 16 |
Benfica
|
1 | 0 | 0 | 1 | -2 | -0.7 | 0 |
| 17 |
Estoril
|
1 | 0 | 0 | 1 | -3 | -2.6 | 0 |
| 18 |
Gil Vicente
|
1 | 0 | 0 | 1 | -3 | -3.4 | 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.
Sidney Lima
D
Lucas Soares
M
Pedro Ferreira
M
Vinícius Lopes
F
Gabriel Silva
F
Coach: Vasco Matos
Diogo Costa
G
Martim Fernandes
D
Zé Pedro
D
Otávio
D
Nico González
M
A. Varela
M
Iván Jaime
M
D. Namaso
M
Fran Navarro
F
Coach: Vítor Bruno
Green columns are the outcomes that came in.
Estoril
Santa Clara
Santa Clara
Porto
Santa Clara
Nacional
O Elvas
Santa Clara
Santa Clara
Vianense
Fábio Veríssimo · 127 kamper i vår database
🟥 Red cards: 0,29 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.