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
Arouca
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Porto
|
14 | 13 | 1 | 0 | +26 | +19.3 | 40 |
| 2 |
Sp Lisbon
|
14 | 11 | 2 | 1 | +31 | +23.0 | 35 |
| 3 |
Benfica
|
14 | 9 | 5 | 0 | +22 | +16.7 | 32 |
| 4 |
Gil Vicente
|
15 | 7 | 5 | 3 | +10 | +4.8 | 26 |
| 5 |
Sp Braga
|
15 | 7 | 4 | 4 | +13 | +10.5 | 25 |
| 6 |
Famalicao
|
14 | 6 | 5 | 3 | +9 | +6.3 | 23 |
| 7 |
Guimaraes
|
14 | 6 | 3 | 5 | -2 | -2.0 | 21 |
| 8 |
Moreirense
|
15 | 6 | 3 | 6 | -3 | -6.4 | 21 |
| 9 |
Estoril
|
15 | 4 | 5 | 6 | -2 | -3.8 | 17 |
| 10 |
Rio Ave
|
15 | 3 | 8 | 4 | -5 | -9.9 | 17 |
| 11 |
Alverca
|
14 | 5 | 2 | 7 | -5 | -0.9 | 17 |
| 12 |
Nacional
|
15 | 4 | 4 | 7 | -4 | -7.8 | 16 |
| 13 |
Santa Clara
|
14 | 4 | 3 | 7 | -4 | +2.3 | 15 |
| 14 |
Estrela
|
15 | 3 | 6 | 6 | -5 | -1.0 | 15 |
| 15 |
Casa Pia
|
15 | 3 | 4 | 8 | -13 | -12.9 | 13 |
| 16 |
Arouca
|
14 | 3 | 3 | 8 | -22 | -18.4 | 12 |
| 17 |
Tondela
|
15 | 2 | 3 | 10 | -18 | -6.4 | 9 |
| 18 |
AVS
|
15 | 0 | 4 | 11 | -28 | -13.3 | 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.
S. Lima
D
H. Silva
D
P. Ferreira
M
Brenner
F
Gabriel Silva
F
Coach: Vasco Matos
Tiago Esgaio
D
B. Popovic
D
J. Fontan
D
E. van Ee
M
Pedro Santos
M
A. Trezza
M
N. Djouahra
M
D. Nandin
F
Coach: Vasco Seabra
Green columns are the outcomes that came in.
Santa Clara
Sp Lisbon
Sp Braga
Santa Clara
Santa Clara
Casa Pia
Rio Ave
Santa Clara
Santa Clara
Comércio Indústria
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.