World Friendlies Clubs
TBA
BW Lohne
W D L D W W
VS
xG 2.25 - 2.00
VfL Osnabrück
D D L W L L

Mathematical Predictions: BW Lohne vs VfL Osnabrück

TOTAL GOALS
Over 2.5
Probability 79.63% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

BW Lohne team crest BW Lohne Past Prediction Accuracy

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

VfL Osnabrück team crest VfL Osnabrück Past Prediction Accuracy

Historical prediction accuracy and match outcomes for VfL Osnabrück
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs 1. FC Kaiserslautern 2 O2.5 0-1
31 Oct 26 @ VfL Wolfsburg X O2.5 2-0
25 Oct 26 vs SpVgg Greuther Fürth 2 O2.5 3-0
18 Oct 26 @ Arminia Bielefeld X O2.5 2-1
10 Oct 26 vs Dynamo Dresden 2 O2.5 1-1

BW Lohne vs VfL Osnabrück

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 0 head-to-head matches, BW Lohne scored an average of 0.00 goals per match, compared to VfL Osnabrück 0.00 goals.
Over their last 10 matches, BW Lohne scored an average of 3.00 and conceded 1.00, whereas VfL Osnabrück scored 3.00 and conceded 1.50.

What are the expected goals (xG) predicted in BW Lohne vs VfL Osnabrück match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.25 for BW Lohne and 2.00 for VfL Osnabrück. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 79.63%.

H2H - BW Lohne vs. VfL Osnabrück

24 Jul 26
BW Lohne
-
(HT -)
VfL Osnabrück

Team Form (Last 6)

Home Crest BW Lohne

13 Jul vs Rot-weiss Oberhausen 2-1
W
18 Jul vs Sportfreunde Lotte 1-1
D
17 Aug vs SpVgg Greuther Furth 0-2
L
17 Jan vs SV Rodinghausen 1-1
D
31 Jan vs Preußen Münster II 4-3
W
13 Feb vs Bersenbrück 3-0
W

Away Crest VfL Osnabrück

19 Sep @ Holstein Kiel 1-1
D
10 Oct vs Dynamo Dresden 1-1
D
18 Oct @ Arminia Bielefeld 2-1
L
25 Oct vs SpVgg Greuther Furth 3-0
W
31 Oct @ VfL Wolfsburg 2-0
L
07 Nov vs FC Kaiserslautern 0-1
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.