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Primeira Liga
Referee: Manuel Oliveira
Portimonense
U S U T T
1–2
Full-time
Sp Lisbon
S T S S S

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Portimonense Sp Lisbon
Last 6 — all competitions · 6/6 matches
Win Ø 58%
33%
83%
Points per game
1,3
2,5
Over 2.5 Ø 50%
67%
33%
Both score Ø 58%
83%
33%
Average goals
3,3
2,7
Scored
1,7
1,8
Conceded
1,7
0,8
Goal diff per game
+0,0
+1,0
This season — Primeira Liga · 31/31 matches
Win Ø 52%
29%
74%
Points per game
1,1
2,4
Over 2.5 Ø 54%
65%
42%
Both score Ø 55%
68%
42%
Average goals
3,2
2,6
Scored
1,5
1,9
Conceded
1,7
0,7
Goal diff per game
-0,3
+1,3
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–1

48% Possession 52%
14 Shots 16
3 Shots on target 6
5 Blocked shots 2
4 Goalkeeper saves 2
4 Corners 5
2 Offside 1
18 Free kicks against 10
0 Yellow cards 1
0 Red cards 0
The table before the match Portimonense 11. · Sp Lisbon 3.
# Team K V U T +/− P
1 Porto 31 25 4 2 +61 79
2 Benfica 32 24 5 3 +57 77
3 Sp Lisbon 31 23 5 3 +39 74
4 Sp Braga 31 23 2 6 +45 71
5 Rio Ave 31 13 5 13 -4 44
6 Maritimo 31 12 8 11 -10 44
7 Chaves 31 11 8 12 -11 41
8 Guimaraes 32 12 4 16 -13 40
9 Tondela 32 10 8 14 -5 38
10 Boavista 31 11 5 15 -11 38
11 Portimonense 31 9 8 14 -8 35
12 Belenenses 31 8 10 13 -12 34
13 Moreirense 32 8 8 16 -17 32
14 Feirense 32 9 3 20 -15 30
15 Vitoria Setubal 32 6 11 15 -23 29
16 Pacos Ferreira 31 7 8 16 -23 29
17 Aves 31 7 7 17 -18 28
18 Estoril 31 7 5 19 -32 26

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.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.