KFUM Oslo 2:1 Kristiansund BK: xG & match report · Eliteserien

Sunday, 02/08/2026 at 17:00

Full time

Match report · Eliteserien

KFUM Oslo Home 1.23 xG · 13 shots

Kristiansund BK Away 1.22 xG · 16 shots

21 The chances were evenly matched

Goals

16' Magnus Wolff Eikrem KFUM Oslo · 0.06 xG chance 1–0
25' Bilal Njie KFUM Oslo · 0.29 xG chance 2–0
90' Tobias Hammer Svendsen Kristiansund BK · 0.16 xG chance 2–1

The shots behind it

KFUM Oslo Kristiansund BK

Shots: 13; 16
On target: 6; 5
Inside the box: 6; 13
xG per shot: 0.08; 0.08
Open play xG: 1.02; 0.99
Set-piece xG: 0.08; 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: 1.10 for KFUM Oslo and 1.25 for Kristiansund BK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 2.35 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

KFUM Oslo

0.93 xG created 1.69 xGA

L 0.52 created, 1.87 conceded against SK Brann
W 2.51 created, 0.91 conceded against Rosenborg BK
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

Kristiansund BK

0.76 xG created 1.64 xGA

W 1.04 created, 1.01 conceded against Lillestrøm SK
L 0.70 created, 1.20 conceded against Viking FK
L 0.92 created, 2.93 conceded against Vålerenga IF
L 0.63 created, 2.27 conceded against Rosenborg BK
D 0.71 created, 0.97 conceded against Sarpsborg 08
L 0.54 created, 1.47 conceded against IK Start

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

Head to head

KFUM Oslo: 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.