World Friendlies Clubs
TBA
FC Liefering
D W W W W L
VS
xG 2.00 - 1.67
FC St. Pauli
D W D D L L

Mathematical Predictions: FC Liefering vs FC St. Pauli

TOTAL GOALS
Over 2.5
Probability 70.89% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

FC Liefering team crest FC Liefering Past Prediction Accuracy

Historical prediction accuracy and match outcomes for FC Liefering
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs SV Wehen 1 O2.5 2-0
11 Jul 26 vs FK Jablonec 1 O2.5 3-1

FC St. Pauli team crest FC St. Pauli Past Prediction Accuracy

Historical prediction accuracy and match outcomes for FC St. Pauli
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ 1. FC Magdeburg 1 U2.5 4-1
01 Nov 26 vs 1. FC Nürnberg X O2.5 1-3
23 Oct 26 @ SV Darmstadt 98 1 O2.5 0-0
17 Oct 26 @ Hannover 96 1 O2.5 1-1
11 Oct 26 vs Karlsruher SC 1 O2.5 2-0

FC Liefering vs FC St. Pauli

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 0 head-to-head matches, FC Liefering scored an average of 0.00 goals per match, compared to FC St. Pauli 0.00 goals.
Over their last 10 matches, FC Liefering scored an average of 2.17 and conceded 0.67, whereas FC St. Pauli scored 2.67 and conceded 1.83.

What are the expected goals (xG) predicted in FC Liefering vs FC St. Pauli match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.00 for FC Liefering and 1.67 for FC St. Pauli. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 70.89%.

H2H - FC Liefering vs. FC St. Pauli

26 Jul 25
FC Liefering
-
(HT -)
FC St. Pauli

Team Form (Last 6)

Home Crest FC Liefering

05 Feb vs Thisted FC 0-0
D
14 Feb vs České Budějovice 3-2
W
04 Jul vs UFC Hallein 4-0
W
11 Jul vs FK Jablonec 3-1
W
18 Jul vs SV Wehen 2-0
W
23 Jul @ Waldhof Mannheim 4-1
L

Away Crest FC St. Pauli

20 Sep @ Energie Cottbus 1-1
D
11 Oct vs Karlsruher SC 2-0
W
17 Oct @ Hannover 96 1-1
D
23 Oct @ SV Darmstadt 98 0-0
D
01 Nov vs FC Nurnberg 1-3
L
08 Nov @ FC Magdeburg 4-1
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.