Vålerenga IF 3:1 Kristiansund BK: xG & match report · Eliteserien

Friday, 29/05/2026 at 19:00

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Match report · Eliteserien

Vålerenga IF Home 2.93 xG · 19 shots

Kristiansund BK Away 0.92 xG · 10 shots

31 The scoreline reflected the chances

Goals

1' Lucas Haren Vålerenga IF · 0.21 xG chance 1–0
69' Carl Lange Vålerenga IF · 0.05 xG chance 2–0
75' Magnus Westergaard Vålerenga IF · 0.28 xG chance 3–0
83' Leander Alvheim Kristiansund BK · 0.16 xG chance 3–1

The shots behind it

Vålerenga IF Kristiansund BK

Shots: 19; 10
On target: 9; 5
Inside the box: 16; 7
xG per shot: 0.14; 0.11
Open play xG: 2.64; 0.97
Set-piece xG: 0.00; 0.13
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: 2.72 for Vålerenga IF and 1.12 for Kristiansund BK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

29 shots · 3.74 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Vålerenga IF

1.40 xG created 1.65 xGA

L 1.09 created, 1.71 conceded against Lillestrøm SK
L 1.38 created, 3.59 conceded against Molde FK
D 1.20 created, 1.32 conceded against KFUM Oslo
L 1.53 created, 0.58 conceded against HamKam
W 2.08 created, 1.72 conceded against Sarpsborg 08
L 1.09 created, 0.97 conceded against IK Start

Kristiansund BK

0.95 xG created 1.02 xGA

D 1.08 created, 1.47 conceded against Aalesunds FK
D 1.11 created, 0.79 conceded against HamKam
L 0.85 created, 0.52 conceded against Sandefjord Fotball
L 0.94 created, 1.14 conceded against Molde FK
W 1.04 created, 1.01 conceded against Lillestrøm SK
L 0.70 created, 1.20 conceded against Viking FK

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

Head to head

Vålerenga IF: 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.