Lommel United
L
D
W
D
W
D
-
(xG) 2.00 - 1.06
SK Beveren
W
L
L
D
L
L
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 58.91% Pending
MATCH RESULT
Home Win
Pending

Lommel United vs SK Beveren

H2H, Match Stats & Analysis
Belgium Jupiler Pro League
Soevereinstadion
In their previous 1 head-to-head matches, Lommel United scored an average of 3.00 goals per match, compared to SK Beveren 1.00 goals.
Over their last 10 matches, Lommel United scored an average of 1.50 and conceded 0.67, whereas SK Beveren scored 0.83 and conceded 3.00.

What are the expected goals (xG) predicted in Lommel United vs SK Beveren match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.00 for Lommel United and 1.06 for SK Beveren. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 58.91%.

H2H - Lommel United vs. SK Beveren

08-05-2027
Lommel United
-
(HT -)
SK Beveren
09-10-2026
SK Beveren
1 - 3
(HT 1-1)
Lommel United

Team Form (Last 6)

Home 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

Away Crest SK Beveren

12.09 vs St. Truiden 2-0
W
20.09 @ Kortrijk 1-0
L
09.10 vs Lommel United 1-3
L
24.10 @ KVC Westerlo 4-4
D
31.10 vs Union St. Gilloise 1-2
L
06.11 @ Standard Liege 3-0
L

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

SK Beveren (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
@ Standard Liege Home Win Over 2.5 3 - 0
vs Union St. Gilloise Away Win Over 2.5 1 - 2
@ KVC Westerlo Home Win Over 2.5 4 - 4
vs Lommel United Home Win Over 2.5 1 - 3
@ Kortrijk Home Win Over 2.5 1 - 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.