Motor Lublin 1:2 Jagiellonia Białystok: xG & match report · Ekstraklasa

Friday, 31/07/2026 at 20:30

Full time

Match report · Ekstraklasa

Motor Lublin Home 2.01 xG · 21 shots

Jagiellonia Białystok Away 0.89 xG · 13 shots

12 The result went against the chances

Goals

33' Nik Prelec Jagiellonia Białystok · 0.08 xG chance 0–1
82' Karol Czubak Motor Lublin · 0.35 xG chance 1–1
85' Sergio Lozano Jagiellonia Białystok · 0.06 xG chance 1–2

The shots behind it

Motor Lublin Jagiellonia Białystok

Shots: 21; 13
On target: 7; 4
Inside the box: 16; 7
xG per shot: 0.10; 0.07
Open play xG: 1.94; 0.80
Set-piece xG: 0.10; 0.10
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: 2.02 for Motor Lublin and 0.89 for Jagiellonia Białystok.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

34 shots · 2.94 xG

Hover, focus or tap a shot to read it.

Motor Lublin
Jagiellonia Białystok
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Motor Lublin

1.06 xG created 1.80 xGA

L 0.67 created, 1.18 conceded against Widzew Łódź
L 0.71 created, 1.71 conceded against Lech Poznań
W 1.64 created, 1.63 conceded against Wisła Płock
D 1.64 created, 1.46 conceded against Cracovia
L 0.54 created, 2.33 conceded against Legia Warszawa
D 1.15 created, 2.49 conceded against Widzew Łódź

Jagiellonia Białystok

1.61 xG created 1.70 xGA

L 1.09 created, 1.69 conceded against Górnik Zabrze
W 2.09 created, 0.96 conceded against Pogoń Szczecin
W 1.19 created, 3.28 conceded against Raków Częstochowa
D 2.08 created, 1.07 conceded against GKS Katowice
W 2.05 created, 2.40 conceded against Zagłębie Lubin
W 1.16 created, 0.77 conceded against MKS Korona Kielce

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

Head to head

Motor Lublin: 0 won · 1 drawn · 1 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.