SV Meppen
D
W
D
W
D
W
-
(xG) 2.33 - 1.83
Kickers Emden
L
W
L
L
L
L

Mathematical Predictions: SV Meppen vs Kickers Emden

TOTAL GOALS
Over 2.5
Probability 78.53% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

SV Meppen team crest SV Meppen Past Prediction Accuracy

Historical prediction accuracy and match outcomes for SV Meppen
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs SSV Jahn Regensburg X O2.5 2-1
30 Oct 26 @ Fortuna Düsseldorf 2 O2.5 0-0
24 Oct 26 vs Würzburger Kickers 1 O2.5 4-0
18 Oct 26 vs Havelse 1 O2.5 1-1
13 Oct 26 @ Hansa Rostock X O2.5 0-2

Kickers Emden team crest Kickers Emden Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Kickers Emden
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs SV Rodinghausen X O2.5 1-4

SV Meppen vs Kickers Emden

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 1 head-to-head matches, SV Meppen scored an average of 0.00 goals per match, compared to Kickers Emden 2.00 goals.
Over their last 10 matches, SV Meppen scored an average of 3.83 and conceded 1.50, whereas Kickers Emden scored 1.83 and conceded 1.67.

What are the expected goals (xG) predicted in SV Meppen vs Kickers Emden match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.33 for SV Meppen and 1.83 for Kickers Emden. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 78.53%.

H2H - SV Meppen vs. Kickers Emden

14 Feb 26
SV Meppen
-
(HT -)
Kickers Emden
08 Feb 25
Kickers Emden
2 - 0
(HT 0-0)
SV Meppen

Team Form (Last 6)

Home Crest SV Meppen

10 Oct vs Stuttgart II 1-1
D
13 Oct @ Hansa Rostock 0-2
W
18 Oct vs Havelse 1-1
D
24 Oct vs FC Wurzburger Kickers 4-0
W
30 Oct @ Fortuna Dusseldorf 0-0
D
08 Nov vs Jahn Regensburg 2-1
W

Away Crest Kickers Emden

18 Jan @ Paderborn II 2-1
L
07 Feb @ Bersenbrück 0-4
W
09 Feb @ Verl 5-2
L
04 Jul vs FC St. Pauli 1-3
L
10 Jul vs Preussen Munster 1-5
L
18 Jul vs SV Rodinghausen 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.