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Pro League
Referee: Eric Lambrechts
Gent
T U U U S
2–0
Full-time
Mechelen
S T U U T

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

🔒 Who wins? Pro

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

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Team trends

Gent Mechelen
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,2
0,8
Over 2.5 Ø 50%
17%
83%
Both score Ø 34%
17%
50%
Average goals
1,3
3,3
Scored
0,3
1,0
Conceded
1,0
2,3
Goal diff per game
-0,7
-1,3
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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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Match stats

Half-time score: 2–0

1,16 xG 0,34
53% Possession 47%
15 Shots 5
8 Shots on target 2
3 Blocked shots 1
2 Goalkeeper saves 7
4 Corners 1
1 Offside 1
11 Free kicks against 11
0 Yellow cards 1
0 Red cards 0

Line-ups

Gent

3-4-2-1
33 D. Roef G
5 M. Ngom D
16 C. Burgess D
44 S. Van Der Heyden D
57 M. Volckaert M
27 T. De Vlieger M
22 L. Lopes M
20 T. Araujo M
37 A. Kadri F
11 M. Sonko F
47 J. Vergara F
Bench (9)
30 K. Peersman
17 M. Delorge-Knieper
56 M. Diallo
45 H. Goore
8 L. Benes
3 M. Paskotsi
28 M. El Adfaoui
59 E. H. Seck
75 I. Cisse

Coach: Rik De Mil

Mechelen

4-2-3-1
13 N. Miras G
39 M. Decoene D
4 G. Diouf D
3 J. Marsa D
23 M. Zekri D
6 F. Hammar M
8 D. Salifou M
11 B. Bafdili M
26 D. Praet M
9 M. van Brederode M
14 B. Raman F
Bench (9)
1 O. De Wolf
27 K. Vanrafelghem
20 K. Corbanie
7 T. Koudou
10 M. Kireev
40 A. Ouahabi
17 C. Van Meirvenne
18 I. Struyf
19 M. Lohunanu-Mbasi

Coach: Frederic Vanderbiest

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
1,95
U
3,48
B
3,52
Over/under goals
O1,5 ✓
O2,5
1,82
U2,5 ✓
1,90
U3,5 ✓
Both teams to score
BLS ja
BLS nei ✓

Referee

Eric Lambrechts · 74 kamper i vår database

🟨 Yellow cards
3,9 / match
Average
⚽ Free kicks
19,4 / match
Average

🟥 Red cards: 0,17 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.