MKS Korona Kielce 1:1 Legia Warszawa: xG & match report · Ekstraklasa

Saturday, 08/08/2026 at 20:15

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Match report · Ekstraklasa

MKS Korona Kielce Home 0.73 xG · 14 shots

Legia Warszawa Away 0.69 xG · 6 shots

11 The chances were evenly matched

Goals

28' Łukasz Zjawiński Legia Warszawa · 0.11 xG chance 0–1
70' Mariusz Stępiński MKS Korona Kielce · 0.11 xG chance 1–1

The shots behind it

MKS Korona Kielce Legia Warszawa

Shots: 14; 6
On target: 3; 1
Inside the box: 7; 5
xG per shot: 0.05; 0.11
Open play xG: 0.31; 0.45
Set-piece xG: 0.37; 0.21
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: 0.67 for MKS Korona Kielce and 0.65 for Legia Warszawa.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

20 shots · 1.34 xG

Hover, focus or tap a shot to read it.

MKS Korona Kielce
Legia Warszawa
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

MKS Korona Kielce

0.96 xG created 1.32 xGA

D 1.36 created, 1.57 conceded against GKS Katowice
D 1.11 created, 2.30 conceded against Piast Gliwice
L 1.43 created, 0.91 conceded against Raków Częstochowa
W 0.81 created, 0.56 conceded against Widzew Łódź
D 0.25 created, 1.41 conceded against Cracovia
L 0.77 created, 1.16 conceded against Jagiellonia Białystok

Legia Warszawa

1.79 xG created 0.80 xGA

W 1.66 created, 0.30 conceded against Widzew Łódź
W 0.51 created, 0.81 conceded against Bruk-Bet Termalica Nieciecza
W 1.53 created, 1.03 conceded against KS Lechia Gdańsk
W 2.33 created, 0.54 conceded against Motor Lublin
W 3.02 created, 1.08 conceded against Pogoń Szczecin
W 1.70 created, 1.03 conceded against Zagłębie Lubin

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

Head to head

MKS Korona Kielce: 1 won · 0 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.