World Friendlies Clubs
TBA
Wilhelmshaven
L D W L
VS
xG 1.50 - 3.22
SSV Jeddeloh
W L W L W L

Mathematical Predictions: Wilhelmshaven vs SSV Jeddeloh

TOTAL GOALS
Over 2.5
Probability 84.99% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Wilhelmshaven team crest Wilhelmshaven Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Wilhelmshaven
Date Fixture 1X2 O/U 2.5 FT
11 Jul 26 vs SSV Jeddeloh X O2.5 1-5

SSV Jeddeloh team crest SSV Jeddeloh Past Prediction Accuracy

Historical prediction accuracy and match outcomes for SSV Jeddeloh
Date Fixture 1X2 O/U 2.5 FT
28 Oct 26 vs Hertha BSC X O2.5 0-2
23 Aug 26 vs 1. FC Heidenheim 2 O2.5 5-2
25 Jul 26 @ Schwarz-Weiß Rehden 2 U2.5 5-2
22 Jul 26 vs SV Rodinghausen X O2.5 2-0
17 Jul 26 vs Preußen Münster 1 O2.5 0-3

Wilhelmshaven vs SSV Jeddeloh

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 1 head-to-head matches, Wilhelmshaven scored an average of 1.00 goals per match, compared to SSV Jeddeloh 5.00 goals.
Over their last 10 matches, Wilhelmshaven scored an average of 1.00 and conceded 3.00, whereas SSV Jeddeloh scored 3.00 and conceded 2.33.

What are the expected goals (xG) predicted in Wilhelmshaven vs SSV Jeddeloh match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.50 for Wilhelmshaven and 3.22 for SSV Jeddeloh. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 84.99%.

H2H - Wilhelmshaven vs. SSV Jeddeloh

11 Jul 26
Wilhelmshaven
1 - 5
(HT 1-1)
SSV Jeddeloh
03 Feb 26
Wilhelmshaven
-
(HT -)
SSV Jeddeloh

Team Form (Last 6)

Home Crest Wilhelmshaven

25 Jan @ SV Meppen 2-0
L
20 Jul vs Bremer Sv 1-1
D
18 Jan @ Brinkumer SV 3-8
W
11 Jul vs SSV Jeddeloh 1-5
L

Away Crest SSV Jeddeloh

11 Jul @ Wilhelmshaven 1-5
W
17 Jul vs Preussen Munster 0-3
L
22 Jul vs SV Rodinghausen 2-0
W
25 Jul @ Schwarz-Weiß Rehden 5-2
L
23 Aug vs FC Heidenheim 5-2
W
28 Oct vs Hertha Berlin 0-2
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.