TBA
Podbeskidzie
D W D W W D
VS
xG 1.67 - 1.33
Piast Gliwice
L W D W D D

Mathematical Predictions: Podbeskidzie vs Piast Gliwice

TOTAL GOALS
Over 2.5
Probability 57.68% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Podbeskidzie team crest Podbeskidzie Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Podbeskidzie
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 vs Nieciecza 2 O2.5 1-1
12 Jul 26 @ Wisla Krakow X O2.5 0-1

Piast Gliwice team crest Piast Gliwice Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Piast Gliwice
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Slask Wroclaw 2 O2.5 0-0
31 Oct 26 @ Wisla Plock X U2.5 2-2
24 Oct 26 vs Cracovia Krakow 1 O2.5 3-1
18 Oct 26 @ Gornik Zabrze X U2.5 1-1
11 Oct 26 vs Widzew Łódź 2 O2.5 2-1

Podbeskidzie vs Piast Gliwice

H2H, Match Stats & Analysis
TBA
In their previous 0 head-to-head matches, Podbeskidzie scored an average of 0.00 goals per match, compared to Piast Gliwice 0.00 goals.
Over their last 10 matches, Podbeskidzie scored an average of 2.00 and conceded 2.17, whereas Piast Gliwice scored 0.50 and conceded 1.33.

What are the expected goals (xG) predicted in Podbeskidzie vs Piast Gliwice match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.67 for Podbeskidzie and 1.33 for Piast Gliwice. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 57.68%.

H2H - Podbeskidzie vs. Piast Gliwice

02 Feb 25
Podbeskidzie
-
(HT -)
Piast Gliwice

Team Form (Last 6)

Home Crest Podbeskidzie

07 Feb @ Wisla Krakow 1-1
D
14 Feb @ GKS Katowice 1-4
W
04 Jul @ Zaglebie Sosnowiec 2-2
D
07 Jul vs Baník Ostrava II 2-1
W
12 Jul @ Wisla Krakow 0-1
W
18 Jul @ Nieciecza 1-1
D

Away Crest Piast Gliwice

20 Sep vs Pogon Szczecin 1-2
L
11 Oct vs Widzew Łódź 2-1
W
18 Oct @ Gornik Zabrze 1-1
D
24 Oct vs Cracovia Krakow 3-1
W
31 Oct @ Wisla Plock 2-2
D
07 Nov @ Slask Wroclaw 0-0
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.