TBC
Bayern München II
L D L L L L
VS
xG 1.50 - 1.29
Freiburg II
L W W W D W

Mathematical Predictions: Bayern München II vs Freiburg II

TOTAL GOALS
Over 2.5
Probability 52.86% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Bayern München II team crest Bayern München II Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Bayern München II
Date Fixture 1X2 O/U 2.5 FT
19 Jul 26 @ SSV Ulm 1846 X O2.5 3-1
12 Jul 26 @ Stuttgarter Kickers 1 O2.5 4-0

Freiburg II team crest Freiburg II Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Freiburg II
Date Fixture 1X2 O/U 2.5 FT
25 Jul 26 vs Hoffenheim II X O2.5 3-0
18 Jul 26 vs FC Schaffhausen 1 O2.5 1-1
15 Jul 26 vs Bochum II X O2.5 0-3
11 Jul 26 @ FV Ravensburg 1 U2.5 0-2

Bayern München II vs Freiburg II

H2H, Match Stats & Analysis
TBC
In their previous 0 head-to-head matches, Bayern München II scored an average of 0.00 goals per match, compared to Freiburg II 0.00 goals.
Over their last 10 matches, Bayern München II scored an average of 1.00 and conceded 1.83, whereas Freiburg II scored 0.75 and conceded 2.00.

What are the expected goals (xG) predicted in Bayern München II vs Freiburg II match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.50 for Bayern München II and 1.29 for Freiburg II. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 52.86%.

H2H - Bayern München II vs. Freiburg II

15 Feb 25
Bayern München II
-
(HT -)
Freiburg II

Team Form (Last 6)

Home Crest Bayern München II

07 Feb vs Stuttgarter Kickers 1-3
L
14 Feb @ First Vienna 2-2
D
27 Jun vs Legia Warszawa 0-2
L
04 Jul @ Wacker Innsbruck 4-1
L
12 Jul @ Stuttgarter Kickers 4-0
L
19 Jul @ SSV ULM 1846 3-1
L

Away Crest Freiburg II

26 Jul @ Stuttgarter Kickers 2-0
L
24 Jan vs Winterthur II 3-0
W
31 Jan vs FC 08 Homburg 3-2
W
11 Jul @ FV Ravensburg 0-2
W
18 Jul vs FC Schaffhausen 1-1
D
25 Jul vs Hoffenheim II 3-0
W

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.