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Primeira Liga
Referee: Hugo Miguel
Rio Ave
S T T U S
1–2
Full-time
Belenenses
T S U U T

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

Rio Ave Belenenses
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,8
Over 2.5 Ø 67%
67%
67%
Both score Ø 67%
83%
50%
Average goals
3,3
3,5
Scored
1,5
1,3
Conceded
1,8
2,2
Goal diff per game
-0,3
-0,8
This season — Primeira Liga · 17/17 matches
Win Ø 33%
41%
24%
Points per game
1,5
1,1
Over 2.5 Ø 59%
59%
59%
Both score Ø 53%
59%
47%
Average goals
2,9
3,3
Scored
1,5
1,2
Conceded
1,4
2,1
Goal diff per game
+0,1
-0,9
🔒 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: 1–2

54% Possession 46%
24 Shots 6
9 Shots on target 2
6 Blocked shots 3
0 Goalkeeper saves 7
10 Corners 3
4 Offside 3
0 Free kicks against 0
3 Yellow cards 3
0 Red cards 0
The table before the match Rio Ave 6. · Belenenses 13.
# Team K V U T +/− P
1 Sp Lisbon 18 14 3 1 +26 45
2 Benfica 18 14 1 3 +35 43
3 Porto 17 12 4 1 +26 40
4 Sp Braga 17 8 5 4 +14 29
5 Pacos Ferreira 18 8 5 5 +7 29
6 Rio Ave 17 7 4 6 +2 25
7 Arouca 17 5 9 3 +3 24
8 Guimaraes 17 6 5 6 -4 23
9 Vitoria Setubal 17 5 7 5 -2 22
10 Maritimo 18 6 3 9 -10 21
11 Estoril 18 5 5 8 -6 20
12 U. Madeira 18 5 5 8 -11 20
13 Belenenses 17 4 6 7 -16 18
14 Nacional 17 4 5 8 -6 17
15 Moreirense 17 4 5 8 -8 17
16 Academica 18 4 5 9 -15 17
17 Boavista 17 2 4 11 -18 10
18 Tondela 18 2 3 13 -17 9

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

15. Aug -15 Belenenses – Rio Ave 3–3

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