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Pro League
Royal Excel Mouscron
U S T T T
1–2
Full-time
Anderlecht
S S T T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Royal Excel Mouscron Anderlecht
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,5
Over 2.5 Ø 50%
33%
67%
Both score Ø 42%
33%
50%
Average goals
2,2
4,0
Scored
0,8
1,7
Conceded
1,3
2,3
Goal diff per game
-0,5
-0,7
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Recent head-to-head meetings

5. Mar -16 Royal Excel Mouscron – Anderlecht 2–1 1. Nov -15 Anderlecht – Royal Excel Mouscron 2–0

Match report

Royal Excel Mouscron Anderlecht
1–0 F. Marković ⚽
S. Diédhiou
26′
Half-time 1–0
N. Gulan 🔁
↦ M. Vojvoda
46′
54′
🔁 Idrissa Sylla
↦ F. NSakala
62′
⚽ F. Acheampong 1–1
A. Chipciu
64′
🔁 S. Defour
↦ I. Doumbia
65′
⚽ Idrissa Sylla 1–2
S. Hanni
L. Stojanović 🔁
↦ A. Badri
73′
83′
🔁 M. Heylen
↦ F. Acheampong
F. Olinga 🔁
↦ D. Mohamed
85′
Full-time 1–2

Line-ups

Royal Excel Mouscron

1 Vagner
3 N. Dussenne
23 M. Tirpan
34 S. Simič
27 M. Vojvoda
5 D. Hubert
9 A. Badri
11 D. Mohamed
7 F. Marković
16 V. Viola
20 S. Diédhiou
Bench (7)
24 N. Gulan
22 L. Stojanović
8 F. Olinga
33 T. Defourmy
45 F. Mulić
17 M. Neves
28 J. Huyghebaert

Coach: G. De Boeck

Anderlecht

1 D. Roef
5 S. De Maio
21 F. N'Sakala
4 K. Mbodji
12 D. Appiah
11 A. Chipciu
94 S. Hanni
32 L. Dendoncker
31 Y. Tielemans
22 I. Doumbia
18 F. Acheampong
Bench (7)
26 Idrissa Sylla
16 S. Defour
24 M. Heylen
14 B. Nuytinck
23 F. Boeckx
27 Trézéguet
77 N. Kabasele

Coach: R. Weiler

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5 ✓
–
🔒
U1,5
–
🔒
O2,5 ✓
–
🔒
U2,5
–
🔒
O3,5
–
🔒
U3,5 ✓
–
🔒
Both teams to score
BLS ja ✓
–
🔒
BLS nei
–
🔒

Recent matches

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.