France Ligue 2
Stade Francis Le Basser
Laval
D L D L W L
1 - 0
xG 1.39 - 1.17
Boulogne
L D W D L W

Mathematical Predictions: Laval vs Boulogne

TOTAL GOALS
Under 2.5
Probability 52.96% Won
MATCH RESULT
Draw
Lost

Historical Prediction Track Records

Laval team crest Laval Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Laval
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Saint Etienne 1 O2.5 2-0
30 Oct 26 vs Boulogne X U2.5 1-0
23 Oct 26 @ Nancy X O2.5 1-0
16 Oct 26 vs Clermont Foot 2 O2.5 3-3
09 Oct 26 @ PAU 1 U2.5 3-2

Boulogne team crest Boulogne Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Boulogne
Date Fixture 1X2 O/U 2.5 FT
06 Nov 26 vs Annecy X U2.5 3-0
30 Oct 26 @ Laval X U2.5 1-0
26 Oct 26 vs Reims 2 U2.5 1-1
16 Oct 26 @ Grenoble X U2.5 0-2
09 Oct 26 @ Sochaux X U2.5 1-1

Laval vs Boulogne

H2H, Match Stats & Analysis
France Ligue 2
Stade Francis Le Basser
In their previous 3 head-to-head matches, Laval scored an average of 1.67 goals per match, compared to Boulogne 0.67 goals.
Over their last 10 matches, Laval scored an average of 1.67 and conceded 1.83, whereas Boulogne scored 0.67 and conceded 0.50.

What are the expected goals (xG) predicted in Laval vs Boulogne match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.39 for Laval and 1.17 for Boulogne. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 52.96%.

H2H - Laval vs. Boulogne

30 Oct 26
Laval
1 - 0
(HT 1-0)
Boulogne
09 May 26
Laval
2 - 1
(HT 2-0)
Boulogne
12 Sep 25
Boulogne
1 - 2
(HT 0-2)
Laval

Team Form (Last 6)

Home Crest Laval

18 Sep vs Sochaux 1-1
D
09 Oct @ PAU 3-2
L
16 Oct vs Clermont Foot 3-3
D
23 Oct @ Nancy 1-0
L
30 Oct vs Boulogne 1-0
W
07 Nov @ Saint Etienne 2-0
L

Away Crest Boulogne

19 Sep vs Nantes 1-2
L
09 Oct @ Sochaux 1-1
D
16 Oct @ Grenoble 0-2
W
26 Oct vs Reims 1-1
D
30 Oct @ Laval 1-0
L
06 Nov vs Annecy 3-0
W

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.