Pro League
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Club Brugge
Westerlo
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
St. Gilloise
|
6 | 4 | 2 | 0 | +10 | +9.2 | 14 |
| 2 |
Anderlecht
|
6 | 3 | 2 | 1 | +6 | +5.7 | 11 |
| 3 |
St Truiden
|
6 | 3 | 2 | 1 | +2 | +5.0 | 11 |
| 4 |
Waregem
|
8 | 3 | 1 | 4 | -2 | -3.1 | 10 |
| 5 |
RAAL La Louviere
|
8 | 3 | 1 | 4 | -2 | -5.7 | 10 |
| 6 |
Gent
|
3 | 3 | 0 | 0 | +5 | +2.2 | 9 |
| 7 |
Club Brugge
|
4 | 3 | 0 | 1 | +3 | +3.2 | 9 |
| 8 |
Mechelen
|
6 | 2 | 3 | 1 | +1 | +0.2 | 9 |
| 9 |
Cercle Brugge
|
7 | 2 | 2 | 3 | +1 | +0.9 | 8 |
| 10 |
Charleroi
|
5 | 2 | 1 | 2 | +1 | -0.7 | 7 |
| 11 |
Westerlo
|
5 | 2 | 0 | 3 | -2 | -0.2 | 6 |
| 12 |
Antwerp
|
4 | 1 | 2 | 1 | +0 | -4.0 | 5 |
| 13 |
Standard
|
5 | 1 | 2 | 2 | -4 | -3.2 | 5 |
| 14 |
Genk
|
4 | 1 | 1 | 2 | -1 | +1.5 | 4 |
| 15 |
Oud-Heverlee Leuven
|
4 | 1 | 0 | 3 | -7 | -2.0 | 3 |
| 16 |
Dender
|
7 | 0 | 1 | 6 | -11 | -8.8 | 1 |
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.
N. Jackers
G
K. Sabbe
D
J. Spileers
D
B. Mechele
D
J. Seys
D
L. Audoor
R. Onyedika
M
C. Forbs
M
H. Vanaken
M
C. Tzolis
M
N. Tresoldi
F
Coach: Nicky Hayen
A. Jungdal
G
B. Reynolds
D
E. Bayram
D
S. Kimura
D
T. Rommens
D
A. Piedfort
M
A. Sayyadmanesh
M
I. Sakamoto
M
Nacho
F
Coach: Issame Charaï
Green columns are the outcomes that came in.
Club Brugge
Monaco
RAAL La Louviere
Club Brugge
Club Brugge
Rangers
Rangers
Club Brugge
Waregem
Club Brugge
Lawrence Visser · 83 kamper i vår database
🟥 Red cards: 0,33 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.