Viking FK 2:1 Sandefjord Fotball: xG & match report · Eliteserien

Saturday, 18/07/2026 at 18:00

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Match report · Eliteserien

Viking FK Home 2.16 xG · 18 shots

Sandefjord Fotball Away 0.38 xG · 8 shots

21 The scoreline reflected the chances

Goals

9' Zlatko Tripić (pen.) Viking FK · 0.82 xG chance 1–0
54' Evangelos Patoulidis Sandefjord Fotball · 0.02 xG chance 1–1
79' Edvin Austbø Viking FK · 0.11 xG chance 2–1

The shots behind it

Viking FK Sandefjord Fotball

Shots: 18; 8
On target: 6; 2
Inside the box: 13; 3
xG per shot: 0.12; 0.04
Open play xG: 0.96; 0.30
Set-piece xG: 0.35; 0.04
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: 1.31 for Viking FK and 0.34 for Sandefjord Fotball.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

26 shots · 2.47 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Viking FK

1.76 xG created 0.91 xGA

W 2.46 created, 0.85 conceded against Fredrikstad FK
W 2.34 created, 0.90 conceded against Rosenborg BK
W 2.12 created, 0.17 conceded against KFUM Oslo
W 1.59 created, 1.55 conceded against IK Start
W 1.20 created, 0.70 conceded against Kristiansund BK
L 0.86 created, 1.31 conceded against Sarpsborg 08

Sandefjord Fotball

1.19 xG created 1.28 xGA

W 2.62 created, 0.93 conceded against Aalesunds FK
W 0.52 created, 0.85 conceded against Kristiansund BK
L 1.07 created, 1.91 conceded against Lillestrøm SK
D 0.86 created, 1.27 conceded against Fredrikstad FK
L 1.24 created, 0.99 conceded against Molde FK
D 0.83 created, 1.70 conceded against HamKam

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.