TBC
Stuttgarter Kickers
W W D W W L
VS
xG 2.63 - 1.13
Augsburg II
L D D D L D

Mathematical Predictions: Stuttgarter Kickers vs Augsburg II

TOTAL GOALS
Over 2.5
Probability 72.29% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Stuttgarter Kickers team crest Stuttgarter Kickers Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Stuttgarter Kickers
Date Fixture 1X2 O/U 2.5 FT
25 Jul 26 vs SSV Jahn Regensburg 1 O2.5 1-2
18 Jul 26 vs FC 08 Villingen 1 O2.5 3-0
12 Jul 26 vs Bayern München II 1 O2.5 4-0

Augsburg II team crest Augsburg II Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Augsburg II
Date Fixture 1X2 O/U 2.5 FT
17 Jul 26 @ Wacker Burghausen 1 O2.5 1-1
14 Jul 26 @ SSV Ulm 1846 1 O2.5 2-1

Stuttgarter Kickers vs Augsburg II

H2H, Match Stats & Analysis
TBC
In their previous 0 head-to-head matches, Stuttgarter Kickers scored an average of 0.00 goals per match, compared to Augsburg II 0.00 goals.
Over their last 10 matches, Stuttgarter Kickers scored an average of 3.50 and conceded 1.50, whereas Augsburg II scored 0.75 and conceded 1.75.

What are the expected goals (xG) predicted in Stuttgarter Kickers vs Augsburg II match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.63 for Stuttgarter Kickers and 1.13 for Augsburg II. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 72.29%.

H2H - Stuttgarter Kickers vs. Augsburg II

08 Feb 25
Stuttgarter Kickers
-
(HT -)
Augsburg II

Team Form (Last 6)

Home Crest Stuttgarter Kickers

31 Jan vs SpVgg Unterhaching 3-2
W
07 Feb @ Bayern München II 1-3
W
14 Feb vs Nürnberg II 4-4
D
12 Jul vs Bayern München II 4-0
W
18 Jul vs FC 08 Villingen 3-0
W
25 Jul vs Jahn Regensburg 1-2
L

Away Crest Augsburg II

14 Feb vs SG Sonnenhof Grossaspach 2-4
L
01 Jul vs Kottern 1-1
D
07 Jul @ Gundelfingen 1-1
D
11 Jul vs Jahn Regensburg II 2-2
D
14 Jul @ SSV ULM 1846 2-1
L
17 Jul @ Wacker Burghausen 1-1
D

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.