What are the expected goals (xG) predicted for this match?

Zlin

(xG) 1.83 - 1.83

Metalist 1925 Kharkiv

Mathematical Predictions: Zlin vs Metalist 1925 Kharkiv

TOTAL GOALS

Over 2.5

Probability 70.89% Pending

MATCH RESULT

Draw

Pending

Historical Prediction Track Records

Zlin Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Zlin
Date	Fixture	1X2	O/U 2.5	FT
18 Jul 26	@ Slask Wroclaw	1	O2.5	3-1
15 Jul 26	@ Polonia Warszawa	2	O2.5	0-2

Metalist 1925 Kharkiv Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Metalist 1925 Kharkiv
Date	Fixture	1X2	O/U 2.5	FT
02 Aug 26	@ Livyi Bereh	1	O2.5	2-1
22 Jul 26	vs FC Schalke 04	X	O2.5	0-2
21 Jul 26	vs Fagiano Okayama	1	O2.5	1-2
16 Jul 26	vs Hradec Králové	2	O2.5	3-3
15 Jul 26	@ FK Jablonec	X	O2.5	1-0

Zlin vs Metalist 1925 Kharkiv

H2H, Match Stats & Analysis

World Friendlies Clubs

2025-07-08T16:00:00

TBA

In their previous 0 head-to-head matches, Zlin scored an average of 0.00 goals per match, compared to Metalist 1925 Kharkiv 0.00 goals.

Over their last 10 matches, Zlin scored an average of 1.67 and conceded 1.83, whereas Metalist 1925 Kharkiv scored 1.83 and conceded 2.00.

What are the expected goals (xG) predicted in Zlin vs Metalist 1925 Kharkiv match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.83 for Zlin and 1.83 for Metalist 1925 Kharkiv. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 70.89%.

H2H - Zlin vs. Metalist 1925 Kharkiv

08 Jul 25

Zlin

(HT -)

Metalist 1925 Kharkiv

Team Form (Last 6)

Zlin

27 Jun vs Skalica 1-2

03 Jul @ AS Trencin 1-3

08 Jul vs Hapoel Tel Aviv 1-2

10 Jul vs Dukla BanskÃ¡ Bystrica 2-1

15 Jul @ Polonia Warszawa 0-2

18 Jul @ Slask Wroclaw 3-1

Metalist 1925 Kharkiv

10 Jul @ Wolfsberger AC 3-3

15 Jul @ FK Jablonec 1-0

16 Jul vs Hradec Králové 3-3

21 Jul vs Fagiano Okayama 1-2

22 Jul vs FC Schalke 04 0-2

02 Aug @ Livyi Bereh 2-1

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.