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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Mechelen
Gent
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Genk
|
16 | 12 | 2 | 2 | +15 | +17.0 | 38 |
| 2 |
Club Brugge
|
15 | 10 | 4 | 1 | +22 | +16.4 | 34 |
| 3 |
Anderlecht
|
16 | 9 | 5 | 2 | +21 | +9.2 | 32 |
| 4 |
Antwerp
|
15 | 9 | 5 | 1 | +20 | +2.1 | 32 |
| 5 |
St. Gilloise
|
16 | 8 | 6 | 2 | +12 | +14.8 | 30 |
| 6 |
Gent
|
17 | 7 | 7 | 3 | +14 | +0.7 | 28 |
| 7 |
Cercle Brugge
|
19 | 6 | 6 | 7 | -10 | -3.5 | 24 |
| 8 |
Charleroi
|
15 | 6 | 4 | 5 | +2 | +2.3 | 22 |
| 9 |
Standard
|
15 | 6 | 4 | 5 | -7 | -7.0 | 22 |
| 10 |
Dender
|
16 | 5 | 6 | 5 | -2 | -5.9 | 21 |
| 11 |
St Truiden
|
20 | 4 | 5 | 11 | -20 | -9.4 | 17 |
| 12 |
Westerlo
|
17 | 4 | 3 | 10 | -5 | +0.3 | 15 |
| 13 |
Mechelen
|
16 | 4 | 3 | 9 | -5 | -3.1 | 15 |
| 14 |
Oud-Heverlee Leuven
|
16 | 2 | 8 | 6 | -5 | -0.8 | 14 |
| 15 |
Kortrijk
|
20 | 3 | 2 | 15 | -28 | -14.6 | 11 |
| 16 |
Beerschot VA
|
19 | 1 | 6 | 12 | -24 | -18.6 | 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.
O. De Wolf
G
S. Welsh
D
José Marsà
D
B. Antonio
M
F. Hammar
M
R. Schoofs
M
R. Belghali
M
G. Hairemans
F
N. Storm
F
B. Raman
F
Coach: B. Hasi
D. Roef
G
J. Torunarigha
D
A. Ito
M
M. Delorge
M
A. Brown
M
M. Sonko
F
D. Vanzeir
F
Coach: D. Miličević
Green columns are the outcomes that came in.
Anderlecht
Mechelen
Mechelen
Genk
Cercle Brugge
Mechelen
Mechelen
Antwerp
Mechelen
Club Brugge
L Visser · 132 kamper i vår database
🟥 Red cards: 0,34 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.