St. Gilloise vs Genk — Belgian Pro League forecast, Sunday, 8 November 2026

Belgian Pro League·Sunday, 8 November 2026·17:30

vs

17:30

Genk
St. GilloiseExpected goalsGenk
2.10 xG1.03 xG

Metis Forecast

Market-anchored distribution

Model updated

St. Gilloise

61%

Draw

22%

Genk

18%

Expected goals

2.10–1.03

St. Gilloise · Genk

St. Gilloise win 61% of the current Metis Forecast. Most likely scores: 1–1 (10.1%), 2–0 (9.6%), 2–1 (9.5%).More forecast detail +

Both teams score in 57% of simulations.

Those three cover 29% of outcomes; the other 71% is spread across every remaining scoreline.

The most likely St. Gilloise win is 2–0 (9.6%).

St. Gilloise score at least twice in 62%; Genk in 28%.

Scoreline distribution

Match outcomes

Both teams score57%
Over 1.5 goals83%
Over 2.5 goals61%
Over 3.5 goals38%
Over 4.5 goals21%
Team scoring & clean sheets
St. Gilloise clean sheet36%
Genk clean sheet13%
St. Gilloise score 2+62%
Genk score 2+28%
St. Gilloise score 3+35%
Genk score 3+9%

Model vs market

SourceHomeDrawAway
Raw Metis model65%21%14%
Market reference61%22%18%
Metis Forecast61%22%18%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–110.1%
2–09.6%
2–19.5%
1–08.2%
3–06.9%
3–16.8%

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St. Gilloise

8 AugAvs Westerlo5–1W
15 AugHvs Waregem0–0D
30 AugHvs Anderlecht3–0W
2 SeptAvs St Truiden3–0W
5 SeptAvs Charleroi3–2W

Genk

9 AugAvs Waregem1–2L
15 AugHvs Westerlo3–2W
22 AugAvs Antwerp4–4D
28 AugHvs Beveren4–0W
6 SeptAvs Anderlecht0–0D

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatSt. Gilloise
(Home · 5 matches)
Genk
(Away · 5 matches)
BTTS rate40.0%40.0%
Over 2.5 rate60.0%60.0%
Clean sheet60.0%20.0%
Avg goals3.403.00

Home stats use St. Gilloise's home record; away stats use Genk's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.