Fredrikstad FK 1:2 Viking FK: xG & match report · Eliteserien

Saturday, 25/04/2026 at 16:00

Full time

Match report · Eliteserien

Fredrikstad FK Home 0.85 xG · 12 shots

Viking FK Away 2.46 xG · 15 shots

12 The scoreline reflected the chances

Goals

45' Peter Christiansen Viking FK · 0.92 xG chance 0–1
59' Gianni Stensness Viking FK · 0.17 xG chance 0–2
65' Oskar Øhlenschlaeger Fredrikstad FK · 0.08 xG chance 1–2

The shots behind it

Fredrikstad FK Viking FK

Shots: 12; 15
On target: 3; 5
Inside the box: 7; 12
xG per shot: 0.06; 0.14
Open play xG: 0.44; 1.74
Set-piece xG: 0.25; 0.43
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: 0.69 for Fredrikstad FK and 2.17 for Viking FK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 2.86 xG

Hover, focus or tap a shot to read it.

Fredrikstad FK
Viking FK
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Fredrikstad FK

1.25 xG created 1.93 xGA

L 0.42 created, 2.45 conceded against Bodø/Glimt
L 0.42 created, 3.31 conceded against Tromsø IL
W 1.53 created, 1.14 conceded against KFUM Oslo
W 0.63 created, 1.00 conceded against Aalesunds FK
D 1.58 created, 1.67 conceded against Vålerenga IF
L 2.91 created, 2.00 conceded against Kristiansund BK

Viking FK

2.14 xG created 1.02 xGA

W 2.27 created, 1.27 conceded against Vålerenga IF
L 1.42 created, 0.98 conceded against HamKam
W 2.22 created, 1.21 conceded against Molde FK
W 2.62 created, 0.57 conceded against Vålerenga IF
W 2.42 created, 0.60 conceded against Bodø/Glimt
W 1.87 created, 1.50 conceded against SK Brann

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

Head to head

Fredrikstad FK: 0 won · 0 drawn · 2 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.