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

Sanfrecce Hiroshima

(xG) 2.83 - 1.92

Paks

Mathematical Predictions: Sanfrecce Hiroshima vs Paks

TOTAL GOALS

Over 2.5

Probability 85.27% Pending

MATCH RESULT

Home Win

Pending

Historical Prediction Track Records

Sanfrecce Hiroshima Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Sanfrecce Hiroshima
Date	Fixture	1X2	O/U 2.5	FT
28 Jul 26	vs Verspah Oita	1	O2.5	4-0
14 Jul 26	@ NK Slaven Belupo	X	O2.5	1-3
11 Jul 26	@ Sturm Graz	1	O2.5	5-1

Paks Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Paks
Date	Fixture	1X2	O/U 2.5	FT
30 Jul 26	@ Panathinaikos	2	O2.5	2-2
23 Jul 26	vs Panathinaikos	X	O2.5	1-2
17 Jul 26	@ Austria Vienna	2	O2.5	4-1
16 Jul 26	@ NK Slaven Belupo	2	O2.5	5-3
11 Jul 26	vs Kozarmisleny FC	1	O2.5	0-3

Sanfrecce Hiroshima vs Paks

H2H, Match Stats & Analysis

World Friendlies Clubs

2026-07-16T16:00:00

TBA

In their previous 0 head-to-head matches, Sanfrecce Hiroshima scored an average of 0.00 goals per match, compared to Paks 0.00 goals.

Over their last 10 matches, Sanfrecce Hiroshima scored an average of 4.00 and conceded 0.00, whereas Paks scored 3.83 and conceded 1.67.

What are the expected goals (xG) predicted in Sanfrecce Hiroshima vs Paks match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.83 for Sanfrecce Hiroshima and 1.92 for Paks. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 85.27%.

H2H - Sanfrecce Hiroshima vs. Paks

16 Jul 26

Sanfrecce Hiroshima

(HT -)

Paks

Team Form (Last 6)

Sanfrecce Hiroshima

23 Jan @ CSKA 1948 3-4

24 Jan @ Cracovia Krakow 1-2

18 Jan @ FC Tokyo 4-3

11 Jul @ Sturm Graz 5-1

14 Jul @ NK Slaven Belupo 1-3

28 Jul vs Verspah Oita 4-0

Paks

11 Jul vs Kozarmisleny FC 0-3

14 Jul @ Hapoel Ramat Gan 0-4

16 Jul vs NK Slaven Belupo 5-3

17 Jul @ Austria Vienna 4-1

23 Jul vs Panathinaikos 1-2

30 Jul @ Panathinaikos 2-2

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.