Lillestrøm SK 3:1 Sandefjord Fotball: xG & match report · Eliteserien

Saturday, 16/05/2026 at 16:00

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Match report · Eliteserien

Lillestrøm SK Home 1.91 xG · 13 shots

Sandefjord Fotball Away 1.07 xG · 10 shots

31 The scoreline reflected the chances

Goals

12' Lars Ranger Lillestrøm SK · 0.22 xG chance 1–0
49' Nikolaj Möller Sandefjord Fotball · 0.54 xG chance 1–1
84' Gustav Kjolstad Nyheim Lillestrøm SK · 0.09 xG chance 2–1
90' Karl Linus Alperud Lillestrøm SK · 0.54 xG chance 3–1

The shots behind it

Lillestrøm SK Sandefjord Fotball

Shots: 13; 10
On target: 6; 4
Inside the box: 10; 6
xG per shot: 0.14; 0.11
Open play xG: 1.39; 0.97
Set-piece xG: 0.37; 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: 1.82 for Lillestrøm SK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 2.83 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Lillestrøm SK

1.46 xG created 1.26 xGA

W 1.81 created, 0.73 conceded against IK Start
D 1.38 created, 2.15 conceded against Tromsø IL
W 1.71 created, 1.09 conceded against Vålerenga IF
L 1.08 created, 0.92 conceded against Bodø/Glimt
W 2.37 created, 0.81 conceded against Sarpsborg 08
L 0.41 created, 1.88 conceded against Rosenborg BK

Sandefjord Fotball

1.30 xG created 1.29 xGA

W 1.89 created, 0.55 conceded against KFUM Oslo
W 0.95 created, 2.36 conceded against SK Brann
D 1.13 created, 1.33 conceded against Rosenborg BK
L 0.70 created, 1.70 conceded against Tromsø IL
W 2.62 created, 0.93 conceded against Aalesunds FK
W 0.52 created, 0.85 conceded against Kristiansund BK

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

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.