Kristiansund BK 2:0 Fredrikstad FK: xG & match report · Eliteserien

Sunday, 19/04/2026 at 17:00

Full time

Match report · Eliteserien

Kristiansund BK Home 2.00 xG · 17 shots

Fredrikstad FK Away 2.91 xG · 17 shots

20 The result went against the chances

Goals

48' Promise Meliga Kristiansund BK · 0.53 xG chance 1–0
60' Leander Alvheim Kristiansund BK · 0.55 xG chance 2–0

The shots behind it

Kristiansund BK Fredrikstad FK

Shots: 17; 17
On target: 8; 5
Inside the box: 13; 14
xG per shot: 0.12; 0.17
Open play xG: 1.04; 1.88
Set-piece xG: 1.08; 1.00
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: 2.11 for Kristiansund BK and 2.91 for Fredrikstad FK.

Shot map

Both teams shown attacking the same goal for comparison.

All shots

34 shots · 5.00 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match

Kristiansund BK

1.12 xG created 2.05 xGA

W 1.32 created, 1.23 conceded against Strømsgodset
D 1.82 created, 2.25 conceded against Vålerenga IF
L 0.15 created, 2.85 conceded against Tromsø IL
W 2.36 created, 2.00 conceded against SK Brann
L 0.32 created, 2.17 conceded against Bodø/Glimt
L 0.74 created, 1.82 conceded against Tromsø IL

Fredrikstad FK

0.87 xG created 1.75 xGA

L 0.61 created, 0.90 conceded against Viking FK
L 0.42 created, 2.45 conceded against Bodø/Glimt
L 0.42 created, 3.31 conceded against Tromsø IL
W 1.53 created, 1.14 conceded against KFUM Oslo
W 0.63 created, 1.00 conceded against Aalesunds FK
D 1.58 created, 1.67 conceded against Vålerenga IF

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

Head to head

Kristiansund BK: 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.