Tromsø IL 3:1 Sandefjord Fotball: xG & match report · Eliteserien

Sunday, 26/04/2026 at 17:00

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Match report · Eliteserien

Tromsø IL Home 1.70 xG · 14 shots

Sandefjord Fotball Away 0.70 xG · 13 shots

31 The scoreline reflected the chances

Goals

16' Heine Asen Larsen Tromsø IL · 0.08 xG chance 1–0
28' Vetle Skjaervik Tromsø IL · 0.18 xG chance 2–0
48' Evangelos Patoulidis Sandefjord Fotball · 0.04 xG chance 2–1
57' Troy Nyhammer Tromsø IL · 0.02 xG chance 3–1

The shots behind it

Tromsø IL Sandefjord Fotball

Shots: 14; 13
On target: 5; 3
Inside the box: 11; 6
xG per shot: 0.09; 0.05
Open play xG: 0.63; 0.52
Set-piece xG: 0.67; 0.07
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: 1.30 for Tromsø IL and 0.58 for Sandefjord Fotball.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

27 shots · 1.89 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Tromsø IL

2.22 xG created 0.91 xGA

W 3.31 created, 0.42 conceded against Fredrikstad FK
W 1.84 created, 1.21 conceded against SK Brann
W 2.90 created, 0.26 conceded against Rosenborg BK
W 1.82 created, 0.74 conceded against Kristiansund BK
D 2.15 created, 1.38 conceded against Lillestrøm SK
W 1.28 created, 1.43 conceded against Sarpsborg 08

Sandefjord Fotball

1.35 xG created 1.29 xGA

W 1.23 created, 0.50 conceded against KFUM Oslo
L 1.78 created, 1.17 conceded against Vålerenga IF
L 1.13 created, 1.83 conceded against Sarpsborg 08
W 1.89 created, 0.55 conceded against KFUM Oslo
W 0.95 created, 2.36 conceded against SK Brann
D 1.13 created, 1.33 conceded against Rosenborg BK

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

Head to head

Tromsø IL: 0 won · 0 drawn · 2 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.