World Friendlies Clubs
Kauno Žalgirio FA maniežas
Kauno Žalgiris
L L W L L L
VS
xG 2.50 - 0.75
Valmiera / BSS
L L L L W L

Mathematical Predictions: Kauno Žalgiris vs Valmiera / BSS

TOTAL GOALS
Over 2.5
Probability 63.04% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Kauno Žalgiris team crest Kauno Žalgiris Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Kauno Žalgiris
Date Fixture 1X2 O/U 2.5 FT
05 Nov 26 @ FC Lugano 1 O2.5 3-0
22 Oct 26 vs Brann X U2.5 1-4
15 Oct 26 @ Brighton 1 O2.5 4-0
27 Aug 26 vs Beşiktaş X U2.5 1-0
20 Aug 26 @ Beşiktaş X U2.5 3-0

Valmiera / BSS team crest Valmiera / BSS Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Valmiera / BSS
Date Fixture 1X2 O/U 2.5 FT
No historical records found.

Kauno Žalgiris vs Valmiera / BSS

H2H, Match Stats & Analysis
World Friendlies Clubs
Kauno Žalgirio FA maniežas
In their previous 0 head-to-head matches, Kauno Žalgiris scored an average of 0.00 goals per match, compared to Valmiera / BSS 0.00 goals.
Over their last 10 matches, Kauno Žalgiris scored an average of 2.17 and conceded 0.67, whereas Valmiera / BSS scored 0.83 and conceded 2.83.

What are the expected goals (xG) predicted in Kauno Žalgiris vs Valmiera / BSS match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.50 for Kauno Žalgiris and 0.75 for Valmiera / BSS. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 63.04%.

H2H - Kauno Žalgiris vs. Valmiera / BSS

22 Feb 25
Kauno Žalgiris
-
(HT -)
Valmiera / BSS

Team Form (Last 6)

Home Crest Kauno Žalgiris

11 Aug vs Dinamo Zagreb 1-2
L
20 Aug @ Besiktas 3-0
L
27 Aug vs Besiktas 1-0
W
15 Oct @ Brighton 4-0
L
22 Oct vs Brann 1-4
L
05 Nov @ FC Lugano 3-0
L

Away Crest Valmiera / BSS

30 Jan @ Paide 5-2
L
15 Feb @ Kalju Nomme 6-0
L
21 Feb @ Laagri 2-0
L
07 Feb @ Laagri 2-1
L
21 Feb @ Paide II 0-1
W
28 Feb @ Elva 2-1
L

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.