SK Brann 2:3 Vålerenga IF: xG & match report · Eliteserien

Sunday, 26/07/2026 at 14:30

Full time

Match report · Eliteserien

SK Brann Home 2.37 xG · 16 shots

Vålerenga IF Away 2.34 xG · 18 shots

23 The chances were evenly matched

Goals

24' Henrik Bjørdal Vålerenga IF · 0.25 xG chance 0–1
41' Carl Lange Vålerenga IF · 0.03 xG chance 0–2
45' Lucas Haren Vålerenga IF · 0.16 xG chance 0–3
65' Niklas Castro (pen.) SK Brann · 0.82 xG chance 1–3
77' Felix Horn Myhre SK Brann · 0.44 xG chance 2–3

The shots behind it

SK Brann Vålerenga IF

Shots: 16; 18
On target: 7; 12
Inside the box: 12; 13
xG per shot: 0.15; 0.09
Open play xG: 1.37; 1.02
Set-piece xG: 0.26; 0.52
Penalties: 1; 0

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: 1.59 for SK Brann and 1.54 for Vålerenga IF.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

34 shots · 3.99 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

SK Brann

1.07 xG created 1.58 xGA

W 1.87 created, 0.52 conceded against KFUM Oslo
L 1.09 created, 2.37 conceded against Aalesunds FK
L 0.15 created, 2.83 conceded against Bodø/Glimt
L 0.76 created, 1.10 conceded against Sarpsborg 08
W 1.83 created, 1.29 conceded against IK Start
W 0.71 created, 1.36 conceded against Molde FK

Vålerenga IF

1.83 xG created 1.28 xGA

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
W 2.93 created, 0.92 conceded against Kristiansund BK
L 0.77 created, 1.95 conceded against Tromsø IL
W 2.58 created, 1.51 conceded against Aalesunds FK

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

Head to head

SK Brann: 2 won · 0 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.