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Pro League
Referee: Christof Dierick
Oostende
T S T U T
2–1
Full-time

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

Oostende Royal Excel Mouscron
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,2
0,5
Over 2.5 Ø 67%
83%
50%
Both score Ø 67%
83%
50%
Average goals
2,8
2,8
Scored
1,3
1,0
Conceded
1,5
1,8
Goal diff per game
-0,2
-0,8
This season — Pro League · 1/2 matches
Win Ø 0%
0%
0%
Points per game
0,0
0,0
Over 2.5 Ø 75%
100%
50%
Both score Ø 75%
100%
50%
Average goals
3,0
2,0
Scored
1,0
0,5
Conceded
2,0
1,5
Goal diff per game
-1,0
-1,0
🔒 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

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

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.