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Pro League
Referee: Nicolas Laforge
Gent
T S T S U
3–0
Full-time
Eupen
U T U U S

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

Gent Eupen
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
1,0
Over 2.5 Ø 50%
17%
83%
Both score Ø 75%
50%
100%
Average goals
2,3
4,7
Scored
1,3
2,2
Conceded
1,0
2,5
Goal diff per game
+0,3
-0,3
This season — Pro League · 8/11 matches
Win Ø 22%
25%
18%
Points per game
1,0
0,8
Over 2.5 Ø 58%
25%
91%
Both score Ø 66%
50%
82%
Average goals
2,5
4,2
Scored
1,3
1,5
Conceded
1,3
2,6
Goal diff per game
+0,0
-1,1
🔒 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: 3–0

4 Corners 2
4 Yellow cards 4
0 Red cards 0
The table before the match Gent 14. · Eupen 13.
# Team K V U T +/− P
1 Club Brugge 8 7 0 1 +11 21
2 St Truiden 11 6 2 3 +1 20
3 Antwerp 11 5 3 3 +3 18
4 Royal Excel Mouscron 11 5 3 3 +0 18
5 Waregem 11 5 1 5 +3 16
6 Beveren 11 4 3 4 +8 15
7 Charleroi 7 4 3 0 +6 15
8 Anderlecht 7 4 2 1 +3 14
9 Lokeren 11 3 3 5 -3 12
10 Standard 7 3 2 2 +0 11
11 Genk 7 2 4 1 +2 10
12 Kortrijk 11 2 4 5 -6 10
13 Eupen 11 2 3 6 -12 9
14 Gent 8 2 2 4 +0 8
15 Mechelen 11 1 5 5 -6 8
16 Oostende 11 1 2 8 -10 5

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.