World Friendlies Clubs
TBA
Bremer SV
L D L D L L
VS
xG 2.22 - 1.67
Borussia Hildesheim
L L L W L W

Mathematical Predictions: Bremer SV vs Borussia Hildesheim

TOTAL GOALS
Over 2.5
Probability 74.52% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Bremer SV team crest Bremer SV Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Bremer SV
Date Fixture 1X2 O/U 2.5 FT
26 Jul 26 @ Verl 1 U2.5 6-1
19 Jul 26 vs Heeslinger SC X O2.5 0-1
11 Jul 26 vs Altona 93 X O2.5 1-1

Borussia Hildesheim team crest Borussia Hildesheim Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Borussia Hildesheim
Date Fixture 1X2 O/U 2.5 FT
19 Jul 26 vs Hemelingen 1 O2.5 2-1

Bremer SV vs Borussia Hildesheim

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 1 head-to-head matches, Bremer SV scored an average of 4.00 goals per match, compared to Borussia Hildesheim 2.00 goals.
Over their last 10 matches, Bremer SV scored an average of 2.17 and conceded 1.33, whereas Borussia Hildesheim scored 1.00 and conceded 3.67.

What are the expected goals (xG) predicted in Bremer SV vs Borussia Hildesheim match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.22 for Bremer SV and 1.67 for Borussia Hildesheim. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 74.52%.

H2H - Bremer SV vs. Borussia Hildesheim

01 Feb 26
Bremer SV
-
(HT -)
Borussia Hildesheim
18 Jan 25
Bremer SV
4 - 2
(HT 3-2)
Borussia Hildesheim

Team Form (Last 6)

Home Crest Bremer SV

06 Feb @ Rot Weiss Ahlen 1-0
L
12 Feb vs Union Bremen 1-1
D
14 Feb @ VfB Oldenburg 4-0
L
11 Jul vs Altona 93 1-1
D
19 Jul vs Heeslinger SC 0-1
L
26 Jul @ Verl 6-1
L

Away Crest Borussia Hildesheim

18 Jan @ Bremer Sv 4-2
L
26 Jul @ Schöningen 5-1
L
08 Feb vs Schöningen 1-3
L
01 Jul vs Wolfenbuttel 6-0
W
04 Jul @ Magdeburg II 2-0
L
19 Jul vs Hemelingen 2-1
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.