FK Jablonec 2:1 SK Sigma Olomouc: xG & match report · Czech First League

Sunday, 26/07/2026 at 17:30

Full time

Match report · Czech First League

FK Jablonec Home 1.34 xG · 19 shots

SK Sigma Olomouc Away 0.37 xG · 5 shots

21 The scoreline reflected the chances

Goals

9' Louis Lurvink SK Sigma Olomouc · 0.22 xG chance 0–1
58' Martin Cedidla FK Jablonec · 0.18 xG chance 1–1
67' Jan Suchan FK Jablonec · 0.22 xG chance 2–1

The shots behind it

FK Jablonec SK Sigma Olomouc

Shots: 19; 5
On target: 7; 2
Inside the box: 12; 4
xG per shot: 0.07; 0.07
Open play xG: 1.00; 0.11
Set-piece xG: 0.38; 0.26
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: 1.37 for FK Jablonec.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

24 shots · 1.75 xG

Hover, focus or tap a shot to read it.

FK Jablonec
SK Sigma Olomouc
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

FK Jablonec

1.39 xG created 1.93 xGA

L 2.50 created, 0.65 conceded against FC Slovan Liberec
L 0.50 created, 2.17 conceded against AC Sparta Praha
D 1.07 created, 0.74 conceded against FC Hradec Králové
L 0.31 created, 3.68 conceded against SK Slavia Praha
L 0.47 created, 3.33 conceded against Viktoria Plzeň
W 3.52 created, 1.01 conceded against FC Slovan Liberec

SK Sigma Olomouc

1.99 xG created 1.83 xGA

W 3.26 created, 1.21 conceded against 1. FC Slovácko
L 0.26 created, 3.89 conceded against SK Slavia Praha
W 1.94 created, 1.60 conceded against Bohemians Praha 1905
L 2.58 created, 2.17 conceded against Bohemians Praha 1905
W 1.86 created, 1.70 conceded against MFK Karviná
W 2.06 created, 0.38 conceded against MFK Karviná

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

Head to head

FK Jablonec: 0 won · 0 drawn · 2 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.