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: 2–3
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
St. Gilloise
|
26 | 18 | 3 | 5 | +29 | +28.8 | 57 |
| 2 |
Club Brugge
|
26 | 17 | 5 | 4 | +45 | +36.4 | 56 |
| 3 |
Anderlecht
|
26 | 16 | 6 | 4 | +24 | +13.7 | 54 |
| 4 |
Cercle Brugge
|
26 | 15 | 5 | 6 | +19 | +7.4 | 50 |
| 5 |
Gent
|
25 | 13 | 7 | 5 | +23 | +16.5 | 46 |
| 6 |
Genk
|
25 | 12 | 8 | 5 | +16 | +25.9 | 44 |
| 7 |
Mechelen
|
26 | 12 | 6 | 8 | +7 | +3.5 | 42 |
| 8 |
Antwerp
|
26 | 11 | 7 | 8 | +18 | +15.2 | 40 |
| 9 |
Charleroi
|
29 | 8 | 8 | 13 | -17 | -12.1 | 32 |
| 10 |
St Truiden
|
27 | 7 | 9 | 11 | -16 | -13.3 | 30 |
| 11 |
Standard
|
26 | 5 | 12 | 9 | -9 | -10.6 | 27 |
| 12 |
RWD Molenbeek
|
29 | 6 | 7 | 16 | -34 | -33.1 | 25 |
| 13 |
Westerlo
|
27 | 5 | 9 | 13 | -13 | -11.9 | 24 |
| 14 |
Oud-Heverlee Leuven
|
26 | 5 | 8 | 13 | -16 | -10.3 | 23 |
| 15 |
Kortrijk
|
28 | 5 | 5 | 18 | -36 | -24.4 | 20 |
| 16 |
Eupen
|
28 | 4 | 3 | 21 | -40 | -31.5 | 15 |
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.
M. Garan'anga
D
D. Bates
D
D. Foulon
D
N. Mukau
M
R. Schoofs
M
G. Hairemans
M
N. Storm
M
N. Bassette
F
Coach: B. Hasi
D. Roef
G
T. Watanabe
D
J. Torunarigha
D
O. Gandelman
M
A. Brown
M
Hong Hyun-Seok
F
M. Fernandez-Pardo
Coach: H. Vanhaezebrouck
Green columns are the outcomes that came in.
Mechelen
Oud-Heverlee Leuven
Standard
Mechelen
Gent
Mechelen
Mechelen
Westerlo
Mechelen
St Truiden
J Boterberg · 112 kamper i vår database
🟥 Red cards: 0,21 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.