What are the expected goals (xG) predicted for this match?

Hertha Zehlendorf

(xG) 2.28 - 2.00

Union Klosterfelde

Mathematical Predictions: Hertha Zehlendorf vs Union Klosterfelde

TOTAL GOALS

Over 2.5

Probability 79.98% Pending

MATCH RESULT

Draw

Pending

Historical Prediction Track Records

Hertha Zehlendorf Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Hertha Zehlendorf
Date	Fixture	1X2	O/U 2.5	FT
15 Jul 26	@ Tasmania Berlin	X	O2.5	2-0
11 Jul 26	vs BFC Dynamo	X	O2.5	0-5

Union Klosterfelde Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Union Klosterfelde
Date	Fixture	1X2	O/U 2.5	FT
11 Jul 26	vs Luckenwalde	X	O2.5	3-2

Hertha Zehlendorf vs Union Klosterfelde

H2H, Match Stats & Analysis

World Friendlies Clubs

2026-01-14T20:00:00

TBA

In their previous 1 head-to-head matches, Hertha Zehlendorf scored an average of 2.00 goals per match, compared to Union Klosterfelde 4.00 goals.

Over their last 10 matches, Hertha Zehlendorf scored an average of 2.67 and conceded 1.83, whereas Union Klosterfelde scored 0.00 and conceded 4.00.

What are the expected goals (xG) predicted in Hertha Zehlendorf vs Union Klosterfelde match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.28 for Hertha Zehlendorf and 2.00 for Union Klosterfelde. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 79.98%.

H2H - Hertha Zehlendorf vs. Union Klosterfelde

17 Jan 26

Union Klosterfelde

4 - 2

(HT 0-2)

Hertha Zehlendorf

14 Jan 26

Hertha Zehlendorf

(HT -)

Union Klosterfelde

Team Form (Last 6)

Hertha Zehlendorf

08 Oct vs Wilmersdorf 7-1

17 Jan @ Union Klosterfelde 4-2

21 Jan vs Makkabi 4-1

24 Jan vs Hansa Rostock II 0-1

11 Jul vs BFC Dynamo 0-5

15 Jul @ Tasmania Berlin 2-0

Union Klosterfelde

17 Jan vs Hertha Zehlendorf 4-2

20 Jan vs BFC Dynamo 2-4

04 Jul vs Krieschow 1-2

08 Jul @ Altglienicke 4-0

11 Jul vs Luckenwalde 3-2

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.