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Primeira Liga
Referee: Nuno Miguel Serrano Almeida
Sp Lisbon
S U S T U
0–0
Full-time

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

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

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Team trends

Sp Lisbon Vitoria Setubal
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,8
0,0
Over 2.5 Ø 50%
33%
67%
Both score Ø 50%
33%
67%
Average goals
1,7
3,0
Scored
1,0
0,8
Conceded
0,7
2,2
Goal diff per game
+0,3
-1,3
This season — Primeira Liga · 34/32 matches
Win Ø 38%
56%
19%
Points per game
1,9
0,9
Over 2.5 Ø 44%
47%
41%
Both score Ø 49%
53%
44%
Average goals
2,5
2,1
Scored
1,5
0,8
Conceded
1,0
1,3
Goal diff per game
+0,5
-0,6
🔒 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: 0–0

79% Possession 21%
13 Shots 3
3 Shots on target 1
5 Blocked shots 1
1 Goalkeeper saves 3
6 Corners 0
2 Offside 3
15 Free kicks against 19
1 Yellow cards 3
0 Red cards 0
The table before the match Sp Lisbon 3. · Vitoria Setubal 18.
# Team K V U T +/− P
1 Porto 35 28 4 3 +61 88
2 Benfica 34 23 6 5 +41 75
3 Sp Lisbon 34 19 6 9 +18 63
4 Sp Braga 35 18 6 11 +21 60
5 Famalicao 35 16 11 8 +6 59
6 Rio Ave 35 16 10 9 +12 58
7 Guimaraes 35 14 11 10 +17 53
8 Gil Vicente 35 12 10 13 -3 46
9 Moreirense 35 10 15 10 -1 45
10 Santa Clara 35 11 11 13 -5 44
11 Boavista 35 11 9 15 -8 42
12 Pacos Ferreira 35 12 5 18 -16 41
13 Maritimo 35 9 13 13 -8 40
14 Belenenses 34 9 8 17 -26 35
15 Tondela 35 8 10 17 -18 34
16 Portimonense 35 6 14 15 -17 32
17 Setubal 33 6 13 14 -18 31
18 Vitoria Setubal 32 6 12 14 -18 30
19 Aves 34 6 2 26 -38 20

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.