World Friendlies Clubs
TBA
Tasmania Berlin
W D W W W L
VS
xG 2.08 - 2.25
SV Babelsberg 03
D L W W W L

Mathematical Predictions: Tasmania Berlin vs SV Babelsberg 03

TOTAL GOALS
Over 2.5
Probability 80.68% Pending
MATCH RESULT
Draw
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

SV Babelsberg 03 team crest SV Babelsberg 03 Past Prediction Accuracy

Historical prediction accuracy and match outcomes for SV Babelsberg 03
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 @ Eintracht Braunschw. II X O2.5 1-5
11 Jul 26 vs FC St. Pauli X O2.5 1-4

Tasmania Berlin vs SV Babelsberg 03

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 0 head-to-head matches, Tasmania Berlin scored an average of 0.00 goals per match, compared to SV Babelsberg 03 0.00 goals.
Over their last 10 matches, Tasmania Berlin scored an average of 2.67 and conceded 2.17, whereas SV Babelsberg 03 scored 2.33 and conceded 1.50.

What are the expected goals (xG) predicted in Tasmania Berlin vs SV Babelsberg 03 match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.08 for Tasmania Berlin and 2.25 for SV Babelsberg 03. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 80.68%.

H2H - Tasmania Berlin vs. SV Babelsberg 03

10 Jan 26
Tasmania Berlin
-
(HT -)
SV Babelsberg 03

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 SV Babelsberg 03

18 Jan vs Schöningen 2-2
D
23 Jan @ Hertha BSC II 4-0
L
27 Jun vs BFC Preussen 2-1
W
03 Jul @ VfL Halle 1-3
W
04 Jul @ Eilenburg 0-4
W
11 Jul vs FC St. Pauli 1-4
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.