Rosenborg BK 2:3 Aalesunds FK: xG & match report · Eliteserien

Saturday, 16/05/2026 at 16:00

Full time

Match report · Eliteserien

Rosenborg BK Home 1.13 xG · 13 shots

Aalesunds FK Away 1.05 xG · 9 shots

23 The chances were evenly matched

Goals

3' Amin Chiakha Rosenborg BK · 0.44 xG chance 1–0
29' Kristian Lonebu Aalesunds FK · 0.38 xG chance 1–1
50' Mathias Christensen Aalesunds FK · 0.04 xG chance 1–2
78' Emil Konradsen Ceide Rosenborg BK · 0.04 xG chance 2–2
80' Endre Hjertager Osenbroch Aalesunds FK · 0.10 xG chance 2–3

The shots behind it

Rosenborg BK Aalesunds FK

Shots: 13; 9
On target: 4; 4
Inside the box: 10; 5
xG per shot: 0.08; 0.12
Open play xG: 0.70; 1.00
Set-piece xG: 0.39; 0.05
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: 1.13 for Rosenborg BK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

22 shots · 2.14 xG

Hover, focus or tap a shot to read it.

Rosenborg BK
Aalesunds FK
Filled = goal
Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match

Rosenborg BK

1.21 xG created 1.51 xGA

L 0.26 created, 2.90 conceded against Tromsø IL
W 1.60 created, 1.15 conceded against Sarpsborg 08
D 1.33 created, 1.13 conceded against Sandefjord Fotball
D 1.27 created, 1.14 conceded against SK Brann
L 0.90 created, 2.34 conceded against Viking FK
W 1.88 created, 0.41 conceded against Lillestrøm SK

Aalesunds FK

1.05 xG created 2.22 xGA

D 0.96 created, 2.90 conceded against IK Start
L 1.00 created, 0.63 conceded against Fredrikstad FK
D 1.31 created, 2.44 conceded against KFUM Oslo
L 0.61 created, 3.63 conceded against Bodø/Glimt
D 1.47 created, 1.08 conceded against Kristiansund BK
L 0.93 created, 2.62 conceded against Sandefjord Fotball

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.