Club Brugge KV
W
W
W
W
W
D
-
(xG) 2.11 - 1.00
Lommel United
L
D
W
D
W
D
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 60.12% Pending
MATCH RESULT
Home Win
Pending

Club Brugge KV vs Lommel United

H2H, Match Stats & Analysis
Belgium Jupiler Pro League
Jan Breydel Stadion
In their previous 1 head-to-head matches, Club Brugge KV scored an average of 1.00 goals per match, compared to Lommel United 0.00 goals.
Over their last 10 matches, Club Brugge KV scored an average of 2.33 and conceded 0.67, whereas Lommel United scored 1.50 and conceded 1.83.

What are the expected goals (xG) predicted in Club Brugge KV vs Lommel United match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.11 for Club Brugge KV and 1.00 for Lommel United. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 60.12%.

H2H - Club Brugge KV vs. Lommel United

20-02-2027
Club Brugge KV
-
(HT -)
Lommel United
04-09-2026
Lommel United
0 - 1
(HT 0-1)
Club Brugge KV

Team Form (Last 6)

Home Crest Club Brugge KV

13.10 @ Inter 3-4
W
21.10 vs Lens 3-0
W
25.10 vs St. Truiden 3-2
W
30.10 @ Zulte Waregem 2-4
W
04.11 @ PSV Eindhoven 1-2
W
08.11 vs Anderlecht 1-1
D

Away Crest Lommel United

12.09 @ Union St. Gilloise 5-0
L
19.09 vs KV Mechelen 0-0
D
09.10 @ Waasland-beveren 1-3
W
24.10 @ OH Leuven 2-2
D
01.11 vs Gent 2-0
W
07.11 @ Antwerp 2-2
D

Club Brugge KV (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
vs Anderlecht Home Win Over 2.5 1 - 1
@ PSV Eindhoven Draw Over 2.5 1 - 2
@ Zulte Waregem Away Win Over 2.5 2 - 4
vs St. Truiden Home Win Over 2.5 3 - 2
vs Lens Draw Over 2.5 3 - 0

Lommel United (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
@ Antwerp Draw Over 2.5 2 - 2
vs Gent Away Win Under 2.5 2 - 0
@ OH Leuven Home Win Over 2.5 2 - 2
@ SK Beveren Home Win Over 2.5 1 - 3
vs KV Mechelen Draw Under 2.5 0 - 0

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.