Sarpsborg 08 1:1 Bodø/Glimt: xG & match report · Eliteserien

Wednesday, 15/04/2026 at 19:00

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Match report · Eliteserien

Sarpsborg 08 Home 1.71 xG · 15 shots

Bodø/Glimt Away 2.27 xG · 16 shots

11 Bodø/Glimt had the better chances, but it finished level

Goals

33' Sander Christiansen Sarpsborg 08 · 0.21 xG chance 1–0
64' Sondre Fet (pen.) Bodø/Glimt · 0.82 xG chance 1–1

The shots behind it

Sarpsborg 08 Bodø/Glimt

Shots: 15; 16
On target: 8; 3
Inside the box: 9; 11
xG per shot: 0.11; 0.11
Open play xG: 1.25; 0.93
Set-piece xG: 0.42; 0.03
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: 1.65 for Sarpsborg 08 and 0.97 for Bodø/Glimt.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

31 shots · 3.45 xG

Hover, focus or tap a shot to read it.

Sarpsborg 08
Bodø/Glimt
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Sarpsborg 08

1.51 xG created 1.52 xGA

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
W 1.83 created, 1.13 conceded against Sandefjord Fotball
D 1.81 created, 0.81 conceded against IK Start
L 1.15 created, 1.60 conceded against Rosenborg BK

Bodø/Glimt

2.29 xG created 0.90 xGA

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
L 0.60 created, 2.42 conceded against Viking FK

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

Head to head

Sarpsborg 08: 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.