SK Beveren
W
L
L
D
L
L
-
(xG) 0.98 - 2.06
Standard Liege
L
L
L
L
D
W
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 58.42% Pending
MATCH RESULT
Away Win
Pending

SK Beveren vs Standard Liege

H2H, Match Stats & Analysis
Belgium Jupiler Pro League
Freethiel Stadion
In their previous 1 head-to-head matches, SK Beveren scored an average of 0.00 goals per match, compared to Standard Liege 3.00 goals.
Over their last 10 matches, SK Beveren scored an average of 1.60 and conceded 1.00, whereas Standard Liege scored 1.83 and conceded 2.17.

What are the expected goals (xG) predicted in SK Beveren vs Standard Liege match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 0.98 for SK Beveren and 2.06 for Standard Liege. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 58.42%.

H2H - SK Beveren vs. Standard Liege

22-05-2027
SK Beveren
-
(HT -)
Standard Liege
06-11-2026
Standard Liege
3 - 0
(HT 1-0)
SK Beveren

Team Form (Last 6)

Home 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

Away Crest Standard Liege

12.09 @ KVC Westerlo 4-2
L
18.09 @ Gent 2-1
L
11.10 vs Charleroi 0-1
L
25.10 @ Genk 2-1
L
31.10 vs Kortrijk 1-1
D
06.11 vs Waasland-beveren 3-0
W

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

Standard Liege (Algorithmic Prediction Track Record)

Last 5 Matches
Date Fixture 1X2 Forecast O/U 2.5 Forecast Final Score
vs SK Beveren Home Win Over 2.5 3 - 0
vs Kortrijk Draw Under 2.5 1 - 1
@ Genk Home Win Over 2.5 2 - 1
vs Charleroi Draw Under 2.5 0 - 1
@ Gent Home Win Over 2.5 2 - 1

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.