Belgium

Jupiler Pro League Final Standings Probabilities

Where each Jupiler Pro Leagueteam is most likely to finish, from 1,000 Monte Carlo simulations of every remaining fixture. Each team's per-match scoring rate to date drives the Poisson model that samples goals for every unplayed match; the table aggregates position frequencies and average final points across all simulations.

Read the methodology in our model transparency page. For top-scorer race projections see Jupiler Pro League top scorer probabilities.

Belgium

Jupiler Pro League Final Standings Probabilities

Read the methodology in our model transparency page. For top-scorer race projections see Jupiler Pro League top scorer probabilities.

Jupiler Pro League 2025/26 Final Standings Probabilities

#	Team	xPts Avg	xPts Mod	2	4	6	8	10
1	Club Brugge KV	66.3	66	199.8
2	Zulte Waregem	32.0	32
3	Union St. Gilloise	52.3	52			192.8	7.2
4	Standard Liege	41.5	43					36.6
5	Union St. Gilloise	52.3	52			192.8	7.2
6	Cercle Brugge	31.0	31
7	Club Brugge KV	66.3	66	199.8
8	Genk	43.2	42				13.4	146.0
9	St. Truiden	60.1	60		199.8
10	RAAL La Louvière	31.0	31
11	St. Truiden	60.1	60		199.8
12	KVC Westerlo	40.1	39					4.0
13	Anderlecht	46.4	47			7.2	179.4	13.4
14	Dender	20.3	19
15	Gent	30.2	31
16	Charleroi	35.2	34
17	Gent	30.2	31
18	KV Mechelen	30.1	31
19	Antwerp	36.7	38
20	KV Mechelen	30.1	31
21	Anderlecht	46.4	47			7.2	179.4	13.4
22	OH Leuven	35.5	37
23	Genk	43.2	42				13.4	146.0
24	Standard Liege	41.5	43					36.6
25	KVC Westerlo	40.1	39					4.0
26	Antwerp	36.7	38
27	Charleroi	35.2	34
28	OH Leuven	35.5	37
29	Zulte Waregem	32.0	32
30	Cercle Brugge	31.0	31
31	RAAL La Louvière	31.0	31
32	Dender	20.3	19