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.
Unlock with ProAlready have an account? Log in
Eupen
Antwerp
Expected goals, over/under and both teams to score — priced by the model before kick-off.
Unlock with ProAlready have an account? Log in
The model's top final scores with the best bookmaker odds.
Unlock with ProAlready have an account? Log in
Half-time score: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
St. Gilloise
|
14 | 12 | 1 | 1 | +21 | +15.4 | 37 |
| 2 |
Club Brugge
|
16 | 10 | 3 | 3 | +27 | +27.4 | 33 |
| 3 |
Cercle Brugge
|
13 | 10 | 1 | 2 | +15 | +13.8 | 31 |
| 4 |
Anderlecht
|
13 | 8 | 4 | 1 | +13 | +9.5 | 28 |
| 5 |
Antwerp
|
13 | 6 | 6 | 1 | +21 | +14.0 | 24 |
| 6 |
Genk
|
13 | 6 | 5 | 2 | +17 | +19.0 | 23 |
| 7 |
Gent
|
13 | 6 | 5 | 2 | +7 | +7.2 | 23 |
| 8 |
Standard
|
15 | 4 | 6 | 5 | -6 | -9.9 | 18 |
| 9 |
Westerlo
|
16 | 4 | 4 | 8 | -7 | -9.0 | 16 |
| 10 |
RWD Molenbeek
|
16 | 4 | 4 | 8 | -19 | -18.4 | 16 |
| 11 |
Mechelen
|
13 | 4 | 3 | 6 | -3 | -4.0 | 15 |
| 12 |
St Truiden
|
14 | 3 | 6 | 5 | -8 | -5.7 | 15 |
| 13 |
Charleroi
|
18 | 3 | 5 | 10 | -15 | -11.7 | 14 |
| 14 |
Kortrijk
|
18 | 3 | 3 | 12 | -28 | -17.4 | 12 |
| 15 |
Oud-Heverlee Leuven
|
15 | 2 | 4 | 9 | -11 | -5.8 | 10 |
| 16 |
Eupen
|
16 | 2 | 2 | 12 | -24 | -24.3 | 8 |
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. Pálsson
D
B. Lambert
D
G. Magnée
M
B. Baiye
M
Coach: F. Kohfeldt
J. Butez
G
Z. Van Den Bosch
D
O. Wijndal
D
A. Muja
M
M. Keita
M
C. Ejuke
M
J. Ekkelenkamp
F
Coach: M. van Bommel
Green columns are the outcomes that came in.
Oud-Heverlee Leuven
Eupen
Eupen
St. Gilloise
Westerlo
Eupen
Eupen
Genk
Cercle Brugge
Eupen
W De Cremer · 93 kamper i vår database
🟥 Red cards: 0,24 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.