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Primeira Liga
Referee: Carlos Xistra
Feirense
U T S S S
0–1
Full-time
Sp Braga
U S U 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

Feirense Sp Braga
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,7
1,5
Over 2.5 Ø 50%
50%
50%
Both score Ø 59%
50%
67%
Average goals
2,2
2,7
Scored
1,2
1,5
Conceded
1,0
1,2
Goal diff per game
+0,2
+0,3
This season — Primeira Liga · 27/27 matches
Win Ø 43%
37%
48%
Points per game
1,3
1,7
Over 2.5 Ø 44%
44%
44%
Both score Ø 49%
41%
56%
Average goals
2,4
2,4
Scored
0,9
1,5
Conceded
1,5
0,9
Goal diff per game
-0,6
+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: 0–1

46% Possession 54%
7 Shots 15
3 Shots on target 6
1 Blocked shots 4
5 Goalkeeper saves 3
4 Corners 5
21 Free kicks against 21
4 Yellow cards 4
0 Red cards 0
The table before the match Feirense 9. · Sp Braga 4.
# Team K V U T +/− P
1 Benfica 27 20 5 2 +43 65
2 Porto 27 19 7 1 +46 64
3 Sp Lisbon 27 17 6 4 +24 57
4 Sp Braga 27 13 8 6 +16 47
5 Guimaraes 27 13 8 6 +10 47
6 Maritimo 27 11 8 8 +2 41
7 Rio Ave 27 11 5 11 -3 38
8 Chaves 27 8 12 7 +1 36
9 Feirense 27 10 5 12 -15 35
10 Boavista 27 8 10 9 +1 34
11 Vitoria Setubal 27 9 7 11 +0 34
12 Belenenses 27 8 8 11 -9 32
13 Pacos Ferreira 27 6 9 12 -12 27
14 Arouca 27 8 3 16 -19 27
15 Estoril 27 6 7 14 -12 25
16 Moreirense 27 5 6 16 -18 21
17 Nacional 27 3 8 16 -27 17
18 Tondela 27 3 8 16 -28 17

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

28. Nov -16 Sp Braga – Feirense 6–2

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