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Pro League
Referee: Lawrence Visser
Standard
T S T T T
2–3
Full-time
Gent
T T U T 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

Standard Gent
Last 6 — all competitions · 6/6 matches
Win Ø 17%
33%
0%
Points per game
1,0
0,2
Over 2.5 Ø 75%
100%
50%
Both score Ø 59%
67%
50%
Average goals
3,7
1,8
Scored
1,7
0,5
Conceded
2,0
1,3
Goal diff per game
-0,3
-0,8
This season — Pro League · 27/27 matches
Win Ø 52%
56%
48%
Points per game
1,9
1,6
Over 2.5 Ø 72%
70%
74%
Both score Ø 65%
63%
67%
Average goals
3,0
3,0
Scored
1,9
1,7
Conceded
1,1
1,3
Goal diff per game
+0,7
+0,4
🔒 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: 1–1

5 Corners 1
4 Yellow cards 1
0 Red cards 0
The table before the match Standard 4. · Gent 8.
# Team K V U T +/− P
1 Genk 27 18 6 3 +34 60
2 Club Brugge 27 16 5 6 +28 53
3 Antwerp 27 17 2 8 +8 53
4 Standard 27 15 6 6 +19 51
5 St Truiden 30 12 11 7 +11 47
6 Anderlecht 27 13 5 9 +6 44
7 Kortrijk 30 12 7 11 +2 43
8 Gent 27 13 3 11 +11 42
9 Charleroi 30 12 6 12 +0 42
10 Royal Excel Mouscron 30 11 7 12 +0 40
11 Waregem 30 8 9 13 -11 33
12 Eupen 30 10 2 18 -23 32
13 Cercle Brugge 30 7 7 16 -24 28
14 Beveren 30 5 12 13 -13 27
15 Oostende 30 6 9 15 -23 27
16 Lokeren 30 5 5 20 -25 20

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.

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