KFUM Oslo 1:1 Lillestrøm SK: xG & match report · Eliteserien

Saturday, 15/08/2026 at 16:00

Full time

Match report · Eliteserien

KFUM Oslo Home 0.92 xG · 9 shots

Lillestrøm SK Away 2.80 xG · 14 shots

11 Lillestrøm SK had the better chances, but it finished level

Goals

48' Felix Vá Lillestrøm SK · 0.51 xG chance 0–1
83' Bjorn Martin Kristensen KFUM Oslo · 0.17 xG chance 1–1

The shots behind it

KFUM Oslo Lillestrøm SK

Shots: 9; 14
On target: 3; 4
Inside the box: 7; 9
xG per shot: 0.10; 0.14
Open play xG: 0.65; 1.32
Set-piece xG: 0.24; 0.67
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: 0.92 for KFUM Oslo and 2.01 for Lillestrøm SK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 2.88 xG

Hover, focus or tap a shot to read it.

KFUM Oslo
Lillestrøm SK
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

KFUM Oslo

1.00 xG created 1.66 xGA

D 0.36 created, 0.84 conceded against Tromsø IL
L 1.02 created, 1.76 conceded against Bodø/Glimt
L 0.46 created, 1.24 conceded against Lillestrøm SK
L 0.69 created, 3.54 conceded against Molde FK
W 1.23 created, 1.22 conceded against Kristiansund BK
W 2.25 created, 1.33 conceded against Sandefjord Fotball

Lillestrøm SK

1.37 xG created 1.40 xGA

L 1.59 created, 1.29 conceded against HamKam
W 1.24 created, 1.17 conceded against Fredrikstad FK
W 1.24 created, 0.46 conceded against KFUM Oslo
L 1.35 created, 0.87 conceded against Viking FK
L 0.38 created, 2.15 conceded against Bodø/Glimt
L 2.39 created, 2.45 conceded against Rosenborg BK

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

Head to head

KFUM Oslo: 0 won · 0 drawn · 1 lost

Lillestrøm SK 2:1 KFUM Oslo 18/07/2026 xG 1.24 – 0.46

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.