Viking FK 4:1 Molde FK: xG & match report · Eliteserien

Saturday, 21/03/2026 at 18:00

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Match report · Eliteserien

Viking FK Home 2.22 xG · 12 shots

Molde FK Away 1.21 xG · 11 shots

41 The scoreline reflected the chances

Goals

7' Niklas Kemp Fuglestad Viking FK · 0.85 xG chance 1–0
9' Emil Breivik Molde FK · 0.14 xG chance 1–1
25' Henrik Heggheim Viking FK · 0.11 xG chance 2–1
31' Henrik Heggheim Viking FK · 0.14 xG chance 3–1
61' Niklas Kemp Fuglestad Viking FK · 0.32 xG chance 4–1

The shots behind it

Viking FK Molde FK

Shots: 12; 11
On target: 6; 4
Inside the box: 11; 9
xG per shot: 0.18; 0.11
Open play xG: 1.98; 1.00
Set-piece xG: 0.20; 0.25
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: 2.22 for Viking FK and 1.26 for Molde FK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

23 shots · 3.43 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Viking FK

1.70 xG created 1.17 xGA

W 2.13 created, 0.70 conceded against Bryne FK
W 1.71 created, 1.95 conceded against Strømsgodset
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

Molde FK

1.89 xG created 1.12 xGA

L 0.79 created, 1.75 conceded against Bodø/Glimt
W 4.07 created, 1.49 conceded against Rosenborg BK
W 1.46 created, 0.70 conceded against Haugesund
W 0.62 created, 1.03 conceded against SK Brann
L 3.06 created, 0.91 conceded against Sarpsborg 08
W 1.31 created, 0.81 conceded against Rosenborg BK

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

Head to head

Viking FK: 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.