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Primeira Liga
Referee: Bruno Miguel Duarte Paixao
Nacional
T T T S U
0–4
Full-time
Sp Lisbon
S U S S U

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

Nacional Sp Lisbon
Last 6 — all competitions · 6/6 matches
Win Ø 42%
17%
67%
Points per game
0,8
2,3
Over 2.5 Ø 92%
100%
83%
Both score Ø 75%
83%
67%
Average goals
4,2
4,0
Scored
1,7
2,8
Conceded
2,5
1,2
Goal diff per game
-0,8
+1,7
This season — Primeira Liga · 21/21 matches
Win Ø 50%
24%
76%
Points per game
1,0
2,5
Over 2.5 Ø 52%
52%
52%
Both score Ø 53%
57%
48%
Average goals
2,7
2,7
Scored
1,1
2,0
Conceded
1,5
0,7
Goal diff per game
-0,4
+1,4
🔒 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: 0–1

34% Possession 66%
7 Shots 12
2 Shots on target 5
1 Blocked shots 3
1 Goalkeeper saves 2
5 Corners 8
2 Offside 3
0 Free kicks against 0
4 Yellow cards 3
0 Red cards 0
The table before the match Nacional 15. · Sp Lisbon 2.
# Team K V U T +/− P
1 Benfica 22 17 1 4 +44 52
2 Sp Lisbon 21 16 4 1 +29 52
3 Porto 22 15 4 3 +28 49
4 Sp Braga 21 11 6 4 +21 39
5 Guimaraes 21 8 7 6 -1 31
6 Pacos Ferreira 21 8 6 7 +4 30
7 Rio Ave 21 8 5 8 -2 29
8 Arouca 21 6 10 5 +1 28
9 Belenenses 22 7 7 8 -18 28
10 Vitoria Setubal 21 6 8 7 -6 26
11 Estoril 21 6 5 10 -8 23
12 U. Madeira 21 6 5 10 -11 23
13 Moreirense 22 6 5 11 -12 23
14 Maritimo 21 6 4 11 -12 22
15 Nacional 21 5 6 10 -8 21
16 Boavista 21 5 5 11 -12 20
17 Academica 21 4 6 11 -17 18
18 Tondela 21 2 4 15 -20 10

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.

Recent head-to-head meetings

21. Sep -15 Sp Lisbon – Nacional 1–0

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