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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Casa Pia
Nacional
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 |
Sp Lisbon
|
3 | 3 | 0 | 0 | +11 | +7.0 | 9 |
| 2 |
Porto
|
3 | 3 | 0 | 0 | +9 | +5.0 | 9 |
| 3 |
Moreirense
|
4 | 3 | 0 | 1 | +2 | +1.8 | 9 |
| 4 |
Sp Braga
|
3 | 2 | 1 | 0 | +6 | +2.2 | 7 |
| 5 |
Famalicao
|
3 | 2 | 1 | 0 | +4 | -0.2 | 7 |
| 6 |
Gil Vicente
|
4 | 2 | 1 | 1 | +2 | +0.5 | 7 |
| 7 |
Benfica
|
2 | 2 | 0 | 0 | +4 | +3.6 | 6 |
| 8 |
Arouca
|
3 | 1 | 1 | 1 | -4 | -3.5 | 4 |
| 9 |
Guimaraes
|
3 | 1 | 0 | 2 | -4 | -2.4 | 3 |
| 10 |
Casa Pia
|
3 | 1 | 0 | 2 | -4 | -4.6 | 3 |
| 11 |
Rio Ave
|
2 | 0 | 2 | 0 | +0 | +1.4 | 2 |
| 12 |
Estrela
|
3 | 0 | 2 | 1 | -1 | +1.1 | 2 |
| 13 |
Estoril
|
2 | 0 | 1 | 1 | -1 | -1.6 | 1 |
| 14 |
AVS
|
3 | 0 | 1 | 2 | -4 | -2.1 | 1 |
| 15 |
Alverca
|
3 | 0 | 1 | 2 | -4 | -0.5 | 1 |
| 16 |
Nacional
|
3 | 0 | 1 | 2 | -5 | -2.3 | 1 |
| 17 |
Santa Clara
|
2 | 0 | 0 | 2 | -4 | -1.5 | 0 |
| 18 |
Tondela
|
3 | 0 | 0 | 3 | -7 | -3.8 | 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.
P. Sequeira
G
J. Goulart
D
G. Larrazabal
M
S. Perez
M
I. Mohamed
M
F. Benaissa-Yahia
M
K. Osundina
F
Coach: Alvaro Pacheco
Lucas Franca
G
Leo Santos
D
Ze Vitor
D
Jose Gomes
D
Liziero
M
Matheus Dias
M
C. Labidi
M
J. Ramirez
F
Paulinho Boia
F
Coach: Tiago Margarido
Green columns are the outcomes that came in.
Porto
Casa Pia
AVS
Casa Pia
Casa Pia
Sp Lisbon
Famalicao
Casa Pia
Casa Pia
Sp Braga
J Pinheiro · 22 kamper i vår database
🟥 Red cards: 0,24 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.