TBA
Pogoń Siedlce
L L L L D W
VS
xG 1.42 - 1.67
Wisla Plock
W L W L D L

Mathematical Predictions: Pogoń Siedlce vs Wisla Plock

TOTAL GOALS
Over 2.5
Probability 59.52% Pending
MATCH RESULT
Away Win
Pending

Historical Prediction Track Records

Pogoń Siedlce team crest Pogoń Siedlce Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Pogoń Siedlce
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 @ Radomiak Radom X O2.5 1-2
11 Jul 26 @ Pogoń Grod. Mazowiecki X O2.5 2-2

Wisla Plock team crest Wisla Plock Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Wisla Plock
Date Fixture 1X2 O/U 2.5 FT
06 Nov 26 @ Motor Lublin 1 O2.5 3-2
31 Oct 26 vs Piast Gliwice X U2.5 2-2
25 Oct 26 @ Jagiellonia 1 O2.5 1-0
19 Oct 26 vs Radomiak Radom 1 O2.5 1-0
09 Oct 26 @ Wieczysta Kraków 1 O2.5 3-0

Pogoń Siedlce vs Wisla Plock

H2H, Match Stats & Analysis
TBA
In their previous 0 head-to-head matches, Pogoń Siedlce scored an average of 0.00 goals per match, compared to Wisla Plock 0.00 goals.
Over their last 10 matches, Pogoń Siedlce scored an average of 1.33 and conceded 1.33, whereas Wisla Plock scored 2.00 and conceded 1.50.

What are the expected goals (xG) predicted in Pogoń Siedlce vs Wisla Plock match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.42 for Pogoń Siedlce and 1.67 for Wisla Plock. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 59.52%.

H2H - Pogoń Siedlce vs. Wisla Plock

20 Jun 26
Pogoń Siedlce
-
(HT -)
Wisla Plock

Team Form (Last 6)

Home Crest Pogoń Siedlce

24 Jan @ Znicz Pruszków 2-1
L
30 Jan @ Unia Skierniewice 5-1
L
27 Jun vs Unia Skierniewice 0-3
L
04 Jul @ Jagiellonia 4-1
L
11 Jul @ Pogoń Grod. Mazowiecki 2-2
D
18 Jul @ Radomiak Radom 1-2
W

Away Crest Wisla Plock

20 Sep @ Zaglebie Lubin 0-2
W
09 Oct @ Wieczysta Kraków 3-0
L
19 Oct vs Radomiak Radom 1-0
W
25 Oct @ Jagiellonia 1-0
L
31 Oct vs Piast Gliwice 2-2
D
06 Nov @ Motor Lublin 3-2
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.