Sandefjord Fotball 0:2 Sarpsborg 08: xG & match report · Eliteserien

Sunday, 22/03/2026 at 17:00

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Match report · Eliteserien

Sandefjord Fotball Home 1.13 xG · 17 shots

Sarpsborg 08 Away 1.83 xG · 8 shots

02 The scoreline reflected the chances

Goals

30' Sondre Sörli Sarpsborg 08 · 0.52 xG chance 0–1
35' Daniel Karlsbakk (pen.) Sarpsborg 08 · 0.82 xG chance 0–2

The shots behind it

Sandefjord Fotball Sarpsborg 08

Shots: 17; 8
On target: 6; 6
Inside the box: 10; 7
xG per shot: 0.07; 0.23
Open play xG: 0.68; 0.94
Set-piece xG: 0.47; 0.11
Penalties: 0; 1

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: 1.13 for Sandefjord Fotball and 1.08 for Sarpsborg 08.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

25 shots · 3.02 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Sandefjord Fotball

1.71 xG created 1.44 xGA

D 0.94 created, 1.01 conceded against Rosenborg BK
L 2.08 created, 2.47 conceded against HamKam
W 0.49 created, 1.78 conceded against Tromsø IL
W 3.76 created, 1.73 conceded against Strømsgodset
W 1.23 created, 0.50 conceded against KFUM Oslo
L 1.78 created, 1.17 conceded against Vålerenga IF

Sarpsborg 08

1.69 xG created 2.26 xGA

L 3.97 created, 3.59 conceded against Bodø/Glimt
W 1.29 created, 1.20 conceded against KFUM Oslo
L 0.61 created, 3.19 conceded against Tromsø IL
L 1.06 created, 0.59 conceded against Fredrikstad FK
W 2.28 created, 1.95 conceded against Bryne FK
W 0.91 created, 3.06 conceded against Molde FK

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

Head to head

Sandefjord Fotball: 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.