Werder Bremen
W
D
D
W
L
W
-
(xG) 2.33 - 1.25
Union Berlin
L
W
D
D
L
D
Mathematical Predictions
TOTAL GOALS
Over 2.5
Probability 69.45% Pending
MATCH RESULT
Home Win
Pending

Werder Bremen vs Union Berlin

H2H, Match Stats & Analysis
Germany Bundesliga
TBA
In their previous 12 head-to-head matches, Werder Bremen scored an average of 1.50 goals per match, compared to Union Berlin 1.42 goals.
Over their last 10 matches, Werder Bremen scored an average of 2.00 and conceded 1.33, whereas Union Berlin scored 1.00 and conceded 3.50.

What are the expected goals (xG) predicted in Werder Bremen vs Union Berlin match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.33 for Werder Bremen and 1.25 for Union Berlin. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 69.45%.

H2H - Werder Bremen vs. Union Berlin

08-05-2027
Union Berlin
-
(HT -)
Werder Bremen
10-01-2027
Werder Bremen
-
(HT -)
Union Berlin
08-03-2026
Union Berlin
1 - 4
(HT 1-2)
Werder Bremen
24-10-2025
Werder Bremen
1 - 0
(HT 0-0)
Union Berlin
03-05-2025
Union Berlin
2 - 2
(HT 1-2)
Werder Bremen
21-12-2024
Werder Bremen
4 - 1
(HT 3-1)
Union Berlin
16-03-2024
Union Berlin
2 - 1
(HT 0-0)
Werder Bremen
28-10-2023
Werder Bremen
2 - 0
(HT 1-0)
Union Berlin
27-05-2023
Union Berlin
1 - 0
(HT 0-0)
Werder Bremen
25-01-2023
Werder Bremen
1 - 2
(HT 1-1)
Union Berlin
24-04-2021
Union Berlin
3 - 1
(HT 0-0)
Werder Bremen
02-01-2021
Werder Bremen
0 - 2
(HT 0-2)
Union Berlin
08-02-2020
Werder Bremen
0 - 2
(HT 0-0)
Union Berlin
14-09-2019
Union Berlin
1 - 2
(HT 1-1)
Werder Bremen

Team Form (Last 6)

Home Crest Werder Bremen

19.09 vs FC Augsburg 3-2
W
09.10 @ Borussia Dortmund 2-2
D
17.10 vs SC Paderborn 07 2-2
D
24.10 @ FSV Mainz 05 2-3
W
27.10 @ Borussia Dortmund 3-2
L
31.10 vs 1899 Hoffenheim 2-0
W

Away Crest Union Berlin

18.09 @ Bayern Munich 7-0
L
10.10 vs SV Elversberg 1-0
W
17.10 vs Borussia Dortmund 0-0
D
24.10 @ FC Augsburg 1-1
D
27.10 @ 1.FC Köln 5-0
L
01.11 vs 1.FC Köln 1-1
D

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.