SK Slavia Praha 2:1 FK Pardubice: xG & match report · Czech First League

Sunday, 09/08/2026 at 15:00

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Match report · Czech First League

SK Slavia Praha Home 2.86 xG · 33 shots

FK Pardubice Away 0.66 xG · 7 shots

21 The scoreline reflected the chances

Goals

50' Mojmír Chytil SK Slavia Praha · 0.31 xG chance 1–0
52' Tomáš Solil FK Pardubice · 0.09 xG chance 1–1
80' Mojmír Chytil SK Slavia Praha · 0.24 xG chance 2–1

The shots behind it

SK Slavia Praha FK Pardubice

Shots: 33; 7
On target: 5; 3
Inside the box: 21; 6
xG per shot: 0.09; 0.08
Open play xG: 1.49; 0.57
Set-piece xG: 1.38; 0.00
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: 2.87 for SK Slavia Praha and 0.56 for FK Pardubice.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

40 shots · 3.44 xG

Hover, focus or tap a shot to read it.

SK Slavia Praha
FK Pardubice
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

SK Slavia Praha

2.43 xG created 0.73 xGA

W 0.72 created, 0.42 conceded against FC Slovan Liberec
W 3.68 created, 0.31 conceded against FK Jablonec
L 1.76 created, 2.08 conceded against FC Hradec Králové
W 2.48 created, 0.23 conceded against Viktoria Plzeň
W 3.73 created, 0.62 conceded against 1. FC Slovácko
W 2.19 created, 0.70 conceded against Baník Ostrava

FK Pardubice

1.55 xG created 1.38 xGA

W 1.05 created, 1.20 conceded against Viktoria Plzeň
W 1.47 created, 1.10 conceded against FC Zlín
W 1.83 created, 1.18 conceded against MFK Karviná
L 1.89 created, 3.06 conceded against MFK Karviná
L 0.31 created, 1.11 conceded against FC Hradec Králové
L 2.75 created, 0.61 conceded against FK Jablonec

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

Head to head

SK Slavia Praha: 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.