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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St. Gilloise
RAAL La Louviere
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 |
Club Brugge
|
15 | 11 | 1 | 3 | +13 | +4.4 | 34 |
| 2 |
St. Gilloise
|
14 | 9 | 5 | 0 | +21 | +16.7 | 32 |
| 3 |
St Truiden
|
15 | 10 | 2 | 3 | +9 | +14.5 | 32 |
| 4 |
Mechelen
|
16 | 7 | 7 | 2 | +7 | -3.0 | 28 |
| 5 |
Gent
|
14 | 8 | 2 | 4 | +7 | +3.6 | 26 |
| 6 |
Antwerp
|
16 | 6 | 4 | 6 | +4 | -0.1 | 22 |
| 7 |
Waregem
|
18 | 6 | 3 | 9 | -4 | -6.6 | 21 |
| 8 |
Cercle Brugge
|
20 | 5 | 6 | 9 | -5 | -3.1 | 21 |
| 9 |
Westerlo
|
18 | 5 | 6 | 7 | -6 | +1.1 | 21 |
| 10 |
Anderlecht
|
16 | 5 | 5 | 6 | -2 | +4.3 | 20 |
| 11 |
Genk
|
14 | 5 | 4 | 5 | +0 | -0.4 | 19 |
| 12 |
Charleroi
|
16 | 5 | 3 | 8 | -3 | -1.4 | 18 |
| 13 |
Oud-Heverlee Leuven
|
17 | 4 | 6 | 7 | -5 | -3.2 | 18 |
| 14 |
RAAL La Louviere
|
18 | 4 | 6 | 8 | -6 | -7.6 | 18 |
| 15 |
Standard
|
16 | 5 | 3 | 8 | -11 | -9.4 | 18 |
| 16 |
Dender
|
19 | 2 | 5 | 12 | -19 | -9.7 | 11 |
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.
V. Chambaere
G
K. Mac Allister
D
F. Leysen
D
L. Patris
M
R. Schoofs
M
K. Van De Perre
M
Guilherme Smith
M
B. Zeneli
F
R. Florucz
F
P. David
F
Coach: David Hubert
M. Peano
G
M. Maisonneuve
D
Y. Okou
D
D. Lamego
D
T. Lutonda
M
N. Gillot
M
J. Afriyie
F
P. M. Fall
F
Coach: Frederic Taquin
Green columns are the outcomes that came in.
Charleroi
St. Gilloise
St. Gilloise
Atalanta
Oud-Heverlee Leuven
St. Gilloise
Bayern Munich
St. Gilloise
Dender
St. Gilloise
N Laforge · 128 kamper i vår database
🟥 Red cards: 0,26 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.