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Manchester City

Nathan Aké

Defender
Non-penalty xG per 90
0.140 non-penalty goals from 7 shots
Expected assists per 90
0.090 assists, 6 key passes
Finishing
-0.97goals above what the league converts the same chances into
Build-up per 90
0.522% of Manchester City’s build-up value

Nathan Aké ranks 157th of 398 qualified players for attacking involvement, shooting from 8.9m on average, with 91% of their danger coming from set pieces.

Against their position

119 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.14
Non-penalty xG
0.14
Shots
0.93
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-1.1

2 figures here come from match-event data, which is not recorded for 2025/26.

Creating

per 90
Assists
0.00
Expected assists
0.09
Key passes
0.79
npxG + xA
0.24
xG chain
0.59
xG build-up
0.52
Assists against xA
-0.7

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2025/26.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2025/26.

Discipline

per 90
Yellow cards
1season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2025/26.

Ranked against 119 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 Aston Villa

Sat 24 Oct, 11:30 UTC

Aston Villa concede 13.0 shots a match and are 0.96× the league norm against defenders. Roughly an average matchup.

Projected shots
0.92

0.93 per 90 × 1.00

Projected on target
0.14

0.13 per 90 × 1.05

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

Shots

18 appearances
  • Over 0.56 of 1833%± 11
  • Over 1.51 of 186%± 5
  • Over 2.50 of 180%± 0
  • Over 3.50 of 180%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 12 of 18.

Shooting profile

7 shots

Where they shoot

7 shots
Every shotBy zone
29% of shots, 2 shots29% of shots, 2 shots14% of shots, 1 shot14% of shots, 1 shot14% of shots, 1 shot29%29%14%14%14%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Nathan Aké, 2025/26, final 35m.

left
21%
Centre
78%
right
1%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.157
Shots per 90
0.93
Key passes per 90
0.79
Average shot distance
8.9m
From set pieces
91%

How the chances arrive

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

Club role

Manchester City

What they are for

  • On the pitch20% of available minutes.

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

Chances received

who supplies them
  1. Phil Foden0.2 xG4 shots, 0g
  2. Rico Lewis0.1 xG1 shot, 0g

Chances created

who they supply
  1. Jéremy Doku0.5 xG2 shots, 0g
  2. Tijjani Reijnders0.1 xG2 shots, 0g
  3. Erling Haaland0.1 xG1 shot, 0g
  4. Max Alleyne0.0 xG1 shot, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Nathan Aké carries 1.9% of Manchester City’s build-up value.

  • Build-up per 900.520
    97% of defenders
  • Possession value per 900.588
    96% of defenders

Ranked against 119 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

18 appearances, oldest first

v Spurs1 shot
0 on target

v Burnley1 shot
0 on target

v Everton1 shot
0 on target

v Brighton1 shot
0 on target

v Brentford2 shots
1 on target

v Villa1 shot
0 on target

12 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 12 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.