Viking FK 5:0 Bodø/Glimt: xG & match report · Eliteserien

Saturday, 11/04/2026 at 18:00

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Match report · Eliteserien

Viking FK Home 2.42 xG · 15 shots

Bodø/Glimt Away 0.60 xG · 6 shots

50 The scoreline reflected the chances

Goals

5' Peter Christiansen Viking FK · 0.89 xG chance 1–0
14' Kristoffer Askildsen Viking FK · 0.03 xG chance 2–0
16' Simen Kvia-Egeskog Viking FK · 0.07 xG chance 3–0
74' Simen Kvia-Egeskog Viking FK · 0.50 xG chance 4–0
87' Zlatko Tripić Viking FK · 0.25 xG chance 5–0

The shots behind it

Viking FK Bodø/Glimt

Shots: 15; 6
On target: 9; 1
Inside the box: 10; 3
xG per shot: 0.17; 0.10
Open play xG: 2.08; 0.53
Set-piece xG: 0.43; 0.07
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: 2.54 for Viking FK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

21 shots · 3.11 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Viking FK

1.87 xG created 1.02 xGA

W 1.78 created, 1.50 conceded against HamKam
W 0.90 created, 0.61 conceded against Fredrikstad FK
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

Bodø/Glimt

2.30 xG created 0.80 xGA

W 0.66 created, 1.80 conceded against SK Brann
L 3.24 created, 0.77 conceded against Vålerenga IF
W 3.75 created, 0.51 conceded against Bryne FK
W 1.53 created, 0.97 conceded against KFUM Oslo
W 2.45 created, 0.42 conceded against Fredrikstad FK
W 2.17 created, 0.32 conceded against Kristiansund BK

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

Head to head

Viking FK: 1 won · 0 drawn · 1 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.