-0.21goals above what the league converts the same chances into
Build-up per 90
0.3510% of Brentford’s build-up value
league 0.27
Christian Nørgaard ranks 162nd of 397 qualified players for attacking involvement, shooting from 14.3m on average, with 52% of their danger coming from set pieces. They carry 9% of Brentford’s attacking involvement, the 5th largest share in the squad.
Against their position
137 midfielders
Shooting
per 90
Goals
0.1676th
Non-penalty goals
0.1677th
xG
0.1878th
Non-penalty xG
0.1878th
Shots
1.2259th
npxG per shot
0.1590th
Shot distance
14.3m95th
Set-piece share
52%85th
Goals against xG
-0.826th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.1362nd
Expected assists
0.0627th
Key passes
0.5619th
npxG + xA
0.2457th
xG chain
0.4655th
xG build-up
0.3575th
Assists against xA
+2.197th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2024/25.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2024/25.
Discipline
per 90
Yellow cards
8season count
Red cards
1season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 137 midfielders 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 toArsenal
Sat 24 Oct, 14:00 UTC
Arsenal concede 9.6 shots a match and are 0.77× the league norm against midfielders. A difficult one.
Projected shots
0.92
1.22 per 90 × 0.75
Projected on target
0.34
0.47 per 90 × 0.71
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
34 appearances
Over 0.524 of 3471%± 8
Over 1.510 of 3429%± 8
Over 2.55 of 3415%± 6
Over 3.50 of 340%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 10 of 34.
When it mattered3 of 5 goals came with the game level or Brentford behind.
On the pitch84% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Christian Nørgaard’soutput.
Chances received
who supplies them
Bryan Mbeumo1.1 xG9 shots, 1g
Mathias Jensen0.9 xG3 shots, 1g
Mikkel Damsgaard0.8 xG7 shots, 0g
Keane Lewis-Potter0.8 xG4 shots, 1g
Nathan Collins0.3 xG1 shot, 0g
Chances created
who they supply
Bryan Mbeumo0.8 xG7 shots, 2g
Kevin Schade0.6 xG3 shots, 1g
Yehor Yarmolyuk0.3 xG1 shot, 0g
Keane Lewis-Potter0.1 xG2 shots, 0g
Kristoffer Ajer0.1 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Christian Nørgaard carries 10.4%of Brentford’s build-up value.
Build-up per 900.349
74% of midfielders
Possession value per 900.458
55% of midfielders
Ranked against 137 midfielders 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
34 appearances, oldest first
over 1.5
at Liverpool1 shot 0 on target
v Southampton3 shots 0 on target
1g
v Wolves3 shots 2 on target
at Man Utd1 shot 1 on target
v Ipswich3 shots 0 on target
v Bournemouth1 shot 1 on target
v Leicester1 shot 0 on target
at Chelsea2 shots 1 on target
v Forest1 shot 0 on target
at Brighton1 shot 0 on target
at Southampton1 shot 0 on target
1g
v Man City1 shot 1 on target
v Liverpool1 shot 0 on target
v Spurs1 shot 1 on target
at West Ham1 shot 0 on target
1g
at Leicester1 shot 1 on target
v Villa3 shots 0 on target
1g
at Bournemouth2 shots 1 on target
at Newcastle2 shots 1 on target
1g
v Brighton3 shots 1 on target
at Forest1 shot 0 on target
v Man Utd1 shot 1 on target
v Fulham2 shots 1 on target
at Wolves2 shots 2 on target
10 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 10 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.
