Odra Opole
D
L
D
L
L
W
-
(xG) 1.67 - 1.06
Hutnik Kraków
D
L
D
L
L
L

Mathematical Predictions: Odra Opole vs Hutnik Kraków

TOTAL GOALS
Over 2.5
Probability 51.18% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

Odra Opole team crest Odra Opole Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Odra Opole
Date Fixture 1X2 O/U 2.5 FT
18 Jul 26 @ Piast Gliwice X U2.5 0-2
18 Jul 26 vs Baník Ostrava II 2 O2.5 0-3
15 Jul 26 vs Maccabi Netanya 2 O2.5 2-4
11 Jul 26 @ Slask Wroclaw 1 O2.5 0-0

Hutnik Kraków team crest Hutnik Kraków Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Hutnik Kraków
Date Fixture 1X2 O/U 2.5 FT
25 Jul 26 @ Mławianka Mława 1 O2.5 4-2
11 Jul 26 vs Pogoń-Sokół Lubaczów X O2.5 3-1

Odra Opole vs Hutnik Kraków

H2H, Match Stats & Analysis
TBA
In their previous 1 head-to-head matches, Odra Opole scored an average of 3.00 goals per match, compared to Hutnik Kraków 0.00 goals.
Over their last 10 matches, Odra Opole scored an average of 1.17 and conceded 2.50, whereas Hutnik Kraków scored 1.67 and conceded 2.67.

What are the expected goals (xG) predicted in Odra Opole vs Hutnik Kraków match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.67 for Odra Opole and 1.06 for Hutnik Kraków. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 51.18%.

H2H - Odra Opole vs. Hutnik Kraków

31 Jan 26
Odra Opole
-
(HT -)
Hutnik Kraków
24 Jan 26
Odra Opole
3 - 0
(HT 1-0)
Hutnik Kraków

Team Form (Last 6)

Home Crest Odra Opole

01 Jul vs Pardubice 1-1
D
04 Jul vs Tychy 71 0-1
L
11 Jul @ Slask Wroclaw 0-0
D
15 Jul vs Maccabi Netanya 2-4
L
18 Jul vs Baník Ostrava II 0-3
L
18 Jul @ Piast Gliwice 0-2
W

Away Crest Hutnik Kraków

31 Jan vs Stal Stalowa Wola 2-2
D
04 Feb vs Wiślanie Jaśkowice 0-3
L
27 Jun @ Sandecja Nowy Sącz 2-2
D
04 Jul vs Podhale Nowy Targ 1-3
L
18 Jul vs Wiślanie Jaśkowice 1-2
L
25 Jul @ Mławianka Mława 4-2
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.