Sarpsborg 08 1:2 Sandefjord Fotball: xG & match report · Eliteserien

Sunday, 16/08/2026 at 17:00

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Match report · Eliteserien

Sarpsborg 08 Home 2.43 xG · 19 shots

Sandefjord Fotball Away 1.69 xG · 17 shots

12 The result went against the chances

Goals

29' Oscar Kapskarmo Sandefjord Fotball · 0.50 xG chance 0–1
37' Daniel Karlsbakk Sarpsborg 08 · 0.57 xG chance 1–1
57' Foster Apetorgbor Sandefjord Fotball · 0.06 xG chance 1–2

The shots behind it

Sarpsborg 08 Sandefjord Fotball

Shots: 19; 17
On target: 6; 7
Inside the box: 14; 11
xG per shot: 0.12; 0.11
Open play xG: 2.27; 1.80
Set-piece xG: 0.09; 0.00
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: 2.40 for Sarpsborg 08 and 1.78 for Sandefjord Fotball.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

36 shots · 4.16 xG

Hover, focus or tap a shot to read it.

Sarpsborg 08
Sandefjord Fotball
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Sarpsborg 08

1.46 xG created 1.30 xGA

W 1.10 created, 0.76 conceded against SK Brann
W 1.31 created, 0.86 conceded against Viking FK
D 0.97 created, 0.71 conceded against Kristiansund BK
W 1.69 created, 1.03 conceded against HamKam
D 1.09 created, 1.62 conceded against Molde FK
L 2.57 created, 2.83 conceded against Viking FK

Sandefjord Fotball

0.92 xG created 1.79 xGA

L 1.24 created, 0.99 conceded against Molde FK
D 0.83 created, 1.70 conceded against HamKam
L 0.38 created, 2.16 conceded against Viking FK
L 0.69 created, 2.18 conceded against Bodø/Glimt
L 1.05 created, 1.44 conceded against Fredrikstad FK
L 1.33 created, 2.25 conceded against KFUM Oslo

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

Head to head

Sarpsborg 08: 2 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.