Skip to content
Touchline

Search

Jump to a club, a player, or a section

Kristoffer Ajer

Centre-back28 yrs
Non-penalty xG per 90
0.091 non-penalty goals from 4 shots
Expected assists per 90
0.040 assists, 4 key passes
Finishing
+0.47goals above what the league converts the same chances into
Build-up per 90
0.2611% of Brentford’s build-up value

Kristoffer Ajer ranks 90th of 138 qualified players for attacking involvement, shooting from 11.9m on average, with 21% of their danger coming from set pieces. They carry 4% of Brentford’s attacking involvement, the 13th largest share in the squad.

Against their position

81 defenders

Average match rating7.20

Shooting

per 90
Goals
0.14
Non-penalty goals
0.14
xG
0.09
Non-penalty xG
0.09
Shots
0.57
Shots on target
0.33
Shot accuracy
–not ranked
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
+0.4

Creating

per 90
Assists
0.00
Expected assists
0.04
Key passes
0.57
npxG + xA
0.12
xG chain
0.34
xG build-up
0.26
Assists against xA
-0.3

On the ball

per 90
Touches
53.67
Passes
41.00
Pass completion
80%
Take-ons attempted
0.33
Take-on success
–not ranked
Dispossessed
0.00

Defending

per 90
Tackles
1.33
Tackles won
–not ranked
Interceptions
1.00
Clearances
8.33
Aerials won
5.33
Aerial success
70%
Dribbled past
0.67

Discipline

per 90
Fouls committed
1.00
Caught offside
0.00
Errors
0season count
Yellow cards
2season count
Red cards
0season count

Ranked against 81 defenders with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.

This week

Gameweek 8

Next fixture

Gameweek 8

away to Hull

Sun 25 Oct, 14:00 UTC

Hull concede 14.0 shots a match and are 1.05× the league norm against centre-backs (10 shots so far). Roughly an average matchup.

Projected shots
0.59

0.57 per 90 × 1.03

Projected on target
0.30

0.29 per 90 × 1.04

Season rate times what this opponent concedes, over a full ninety minutes. Check availability.

Shots

7 appearances
  • Over 0.53 of 743%± 19
  • Over 1.51 of 714%± 13
  • Over 2.50 of 70%± 0
  • Over 3.50 of 70%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 4 of 7.

Shooting profile

4 shots

Where they shoot

4 shots
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Kristoffer Ajer, 2026/27, 4 shots in the final 35m, 1 scored.

left
91%
Centre
0%
right
9%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.149
Shots per 90
0.57
Key passes per 90
0.57
Average shot distance
11.9m
From set pieces
21%

How the chances arrive

Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%

Club role

Brentford

What they are for

  • On the pitch100% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Kristoffer Ajer’soutput.

Chances received

who supplies them
  1. Jaidon Anthony0.4 xG1 shot, 1g
  2. Mikkel Damsgaard0.1 xG1 shot, 0g

Chances created

who they supply
  1. Kevin Schade0.1 xG1 shot, 0g
  2. Jaidon Anthony0.0 xG1 shot, 0g
  3. Nathan Collins0.0 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Kristoffer Ajer carries 11.1% of Brentford’s build-up value.

  • Build-up per 900.258
    42% of defenders
  • Possession value per 900.344
    48% of defenders

Ranked against 52 defenders with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.

Match by match

Match log

7 appearances, oldest first

v Spurs1 shot
1 on target

at Bournemouth1 shot
0 on target

1g

at Villa2 shots
1 on target

4 blanksno shot
not placed

Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 4 sits at the end, counted but unplaced.

How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.