Zagłębie Lubin 2:0 Piast Gliwice: xG & match report · Ekstraklasa

Monday, 27/07/2026 at 19:00

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Match report · Ekstraklasa

Zagłębie Lubin Home 1.09 xG · 13 shots

Piast Gliwice Away 0.75 xG · 18 shots

20 The scoreline reflected the chances

Goals

72' Jakub Sypek Zagłębie Lubin · 0.51 xG chance 1–0
86' Marcel Regula Zagłębie Lubin · 0.05 xG chance 2–0

The shots behind it

Zagłębie Lubin Piast Gliwice

Shots: 13; 18
On target: 2; 2
Inside the box: 5; 8
xG per shot: 0.08; 0.04
Open play xG: 0.85; 0.50
Set-piece xG: 0.21; 0.22
Penalties: —; —

Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 1.09 for Zagłębie Lubin and 0.75 for Piast Gliwice.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

31 shots · 1.78 xG

Hover, focus or tap a shot to read it.

Zagłębie Lubin
Piast Gliwice
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Zagłębie Lubin

1.09 xG created 1.66 xGA

L 0.41 created, 1.80 conceded against Legia Warszawa
L 0.59 created, 1.65 conceded against Bruk-Bet Termalica Nieciecza
D 1.29 created, 0.90 conceded against Cracovia
W 1.26 created, 1.56 conceded against Górnik Zabrze
L 0.56 created, 1.97 conceded against Pogoń Szczecin
L 2.40 created, 2.05 conceded against Jagiellonia Białystok

Piast Gliwice

1.86 xG created 1.05 xGA

D 1.60 created, 1.53 conceded against KS Lechia Gdańsk
W 2.46 created, 1.22 conceded against MZKS Arka Gdynia
D 2.30 created, 1.11 conceded against MKS Korona Kielce
D 1.03 created, 0.96 conceded against GKS Katowice
L 3.28 created, 0.83 conceded against Raków Częstochowa
L 0.47 created, 0.67 conceded against Widzew Łódź

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Zagłębie Lubin: 1 won · 1 drawn · 0 lost

Model details

Show

The model never priced this match before kick-off, so there is no projection to read the result against.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.