Tasmania Berlin
W
D
W
W
W
L
-
(xG) 2.83 - 1.78
Reinickendorfer Fuchse
D
L
L

Mathematical Predictions: Tasmania Berlin vs Reinickendorfer Fuchse

TOTAL GOALS
Over 2.5
Probability 83.85% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Tasmania Berlin team crest Tasmania Berlin Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Tasmania Berlin
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs Schoneiche X U2.5 4-3
15 Jul 26 vs Hertha Zehlendorf X O2.5 2-0

Reinickendorfer Fuchse team crest Reinickendorfer Fuchse Past Prediction Accuracy

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

Tasmania Berlin vs Reinickendorfer Fuchse

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 1 head-to-head matches, Tasmania Berlin scored an average of 3.00 goals per match, compared to Reinickendorfer Fuchse 2.00 goals.
Over their last 10 matches, Tasmania Berlin scored an average of 2.67 and conceded 2.17, whereas Reinickendorfer Fuchse scored 1.67 and conceded 2.33.

What are the expected goals (xG) predicted in Tasmania Berlin vs Reinickendorfer Fuchse match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.83 for Tasmania Berlin and 1.78 for Reinickendorfer Fuchse. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 83.85%.

H2H - Tasmania Berlin vs. Reinickendorfer Fuchse

08 Jul 26
Tasmania Berlin
3 - 2
(HT 2-2)
Reinickendorfer Fuchse
28 Jan 26
Tasmania Berlin
-
(HT -)
Reinickendorfer Fuchse

Team Form (Last 6)

Home Crest Tasmania Berlin

01 Jul vs Tennis Borussia 3-0
W
05 Jul @ BFC Preussen 2-2
D
08 Jul vs Reinickendorfer Fuchse 3-2
W
15 Jul vs Hertha Zehlendorf 2-0
W
18 Jul vs Schoneiche 4-3
W
19 Jul vs Olympic 3-4
L

Away Crest Reinickendorfer Fuchse

24 Jan @ Lichtenberg 1-1
D
04 Jul @ BFC Preussen 3-2
L
08 Jul @ Tasmania Berlin 3-2
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.