Bodø/Glimt 5:0 IK Start: xG & match report · Eliteserien

Thursday, 30/04/2026 at 19:00

Full time

Match report · Eliteserien

Bodø/Glimt Home 3.27 xG · 29 shots

IK Start Away 1.14 xG · 14 shots

50 The scoreline reflected the chances

Goals

16' Isak Dybvik Määttä Bodø/Glimt · 0.04 xG chance 1–0
22' Kasper Høgh Bodø/Glimt · 0.14 xG chance 2–0
66' Kasper Høgh Bodø/Glimt · 0.24 xG chance 3–0
79' Andreas Helmersen Bodø/Glimt · 0.53 xG chance 4–0
90' Andreas Helmersen Bodø/Glimt · 0.17 xG chance 5–0

The shots behind it

Bodø/Glimt IK Start

Shots: 29; 14
On target: 12; 7
Inside the box: 21; 7
xG per shot: 0.14; 0.11
Open play xG: 2.69; 1.27
Set-piece xG: 0.44; 0.28
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: 3.13 for Bodø/Glimt and 1.53 for IK Start.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

43 shots · 5.50 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Bodø/Glimt

2.01 xG created 1.09 xGA

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
D 2.27 created, 1.71 conceded against Sarpsborg 08
W 3.63 created, 0.61 conceded against Aalesunds FK
W 0.92 created, 1.08 conceded against Lillestrøm SK

IK Start

1.07 xG created 1.39 xGA

L 0.40 created, 1.15 conceded against KFUM Oslo
D 2.90 created, 0.96 conceded against Aalesunds FK
D 0.81 created, 1.81 conceded against Sarpsborg 08
L 0.73 created, 1.81 conceded against Lillestrøm SK
D 0.78 created, 1.48 conceded against Molde FK
L 0.77 created, 1.16 conceded against HamKam

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

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.