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Primeira Liga
Referee: Manuel Mota da Silva
Nacional
T U T U U
0–0
Full-time
Feirense
S U S S T

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 Feirense
Last 6 — all competitions · 6/6 matches
Win Ø 25%
0%
50%
Points per game
0,5
1,8
Over 2.5 Ø 17%
17%
17%
Both score Ø 33%
33%
33%
Average goals
1,7
1,3
Scored
0,3
0,8
Conceded
1,3
0,5
Goal diff per game
-1,0
+0,3
This season — Primeira Liga · 22/22 matches
Win Ø 23%
14%
32%
Points per game
0,7
1,1
Over 2.5 Ø 41%
41%
41%
Both score Ø 39%
41%
36%
Average goals
2,2
2,4
Scored
0,7
0,8
Conceded
1,5
1,6
Goal diff per game
-0,8
-0,8
🔒 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

54% Possession 46%
9 Shots 8
2 Shots on target 5
3 Blocked shots 1
5 Goalkeeper saves 2
9 Corners 6
3 Offside 2
18 Free kicks against 12
3 Yellow cards 3
0 Red cards 0
The table before the match Nacional 17. · Feirense 13.
# Team K V U T +/− P
1 Benfica 23 18 3 2 +38 57
2 Porto 22 16 5 1 +34 53
3 Sp Lisbon 23 14 5 4 +18 47
4 Guimaraes 23 11 6 6 +6 39
5 Sp Braga 22 11 5 6 +13 38
6 Maritimo 23 9 7 7 +2 34
7 Chaves 23 7 11 5 +2 32
8 Boavista 22 7 8 7 +0 29
9 Vitoria Setubal 22 8 5 9 +0 29
10 Rio Ave 23 8 5 10 -4 29
11 Arouca 22 8 3 11 -9 27
12 Belenenses 22 6 8 8 -5 26
13 Feirense 22 7 4 11 -17 25
14 Pacos Ferreira 23 6 6 11 -11 24
15 Estoril 23 5 5 13 -12 20
16 Moreirense 23 5 4 14 -15 19
17 Nacional 22 3 6 13 -17 15
18 Tondela 23 3 6 14 -23 15

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

24. Sep -16 Feirense – Nacional 0–3

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