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Manchester City

Phil Foden

Midfielder26 yrs
Non-penalty xG per 90
0.297 non-penalty goals from 55 shots
Expected assists per 90
0.265 assists, 53 key passes
Finishing
+1.10goals above what the league converts the same chances into
Build-up per 90
0.495% of Manchester City’s build-up value

Phil Foden ranks 32nd of 398 qualified players for attacking involvement, shooting from 18.7m on average. They carry 9% of Manchester City’s attacking involvement, the 4th largest share in the squad.

Against their position

109 forwards

Shooting

per 90
Goals
0.30
Non-penalty goals
0.30
xG
0.29
Non-penalty xG
0.29
Shots
2.38
npxG per shot
0.12
Shot distance
18.7m
Set-piece share
4%
Goals against xG
+0.3

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

Creating

per 90
Assists
0.22
Expected assists
0.26
Key passes
2.29
npxG + xA
0.55
xG chain
0.86
xG build-up
0.49
Assists against xA
-1.1

On the ball

per 90

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

Defending

per 90
Recoveries
4.42
Defensive contribution
6.93

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

Discipline

per 90
Yellow cards
4season count
Red cards
0season count

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

Ranked against 109 forwards 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.

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 0.91× the league norm against forwards. Roughly an average matchup.

Projected shots
2.31

2.38 per 90 × 0.97

Projected on target
0.86

0.82 per 90 × 1.05

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

Shots

33 appearances
  • Over 0.522 of 3367%± 8
  • Over 1.517 of 3352%± 9
  • Over 2.58 of 3324%± 7
  • Over 3.55 of 3315%± 6

The band is one standard error, the tick the estimate. Blanks count as misses, 11 of 33.

Shooting profile

55 shots

Where they shoot

55 shots
Every shotBy zone
2% of shots, 1 shot2% of shots, 1 shot2% of shots, 1 shot4% of shots, 2 shots7% of shots, 4 shots2% of shots, 1 shot2% of shots, 1 shot2% of shots, 1 shot7% of shots, 4 shots15% of shots, 8 shots5% of shots, 3 shots2% of shots, 1 shot7% of shots, 4 shots2% of shots, 1 shot5% of shots, 3 shots5% of shots, 3 shots2% of shots, 1 shot4% of shots, 2 shots4% of shots, 2 shots2% of shots, 1 shot2% of shots, 1 shot2% of shots, 1 shot5% of shots, 3 shots4% of shots, 2 shots2% of shots, 1 shot2% of shots, 1 shot7%7%15%7%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Phil Foden, 2025/26, final 35m. A further 2% of their shots came from outside this window.

left
26%
Centre
51%
right
23%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.122
Shots per 90
2.38
Key passes per 90
2.29
Average shot distance
18.7m
From set pieces
4%

How the chances arrive

Crosses
6%
Through balls
1%
Own dribble
16%
Headed
7%

Club role

Manchester City

What they are for

  • Corners and set piecesSupplies 10% of Manchester City’s dead-ball danger, from 21 deliveries that became shots.
  • When it mattered3 of 7 goals came with the game level or Manchester City behind.
  • On the pitch61% of available minutes.

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

Chances received

who supplies them
  1. Mathis Cherki1.4 xG6 shots, 3g
  2. Jéremy Doku1.2 xG6 shots, 1g
  3. Matheus Nunes0.6 xG6 shots, 1g
  4. Erling Haaland0.6 xG2 shots, 1g
  5. Nico O'Reilly0.5 xG3 shots, 0g

Chances created

who they supply
  1. Erling Haaland2.8 xG14 shots, 1g
  2. Omar Marmoush0.5 xG1 shot, 1g
  3. Antoine Semenyo0.5 xG3 shots, 1g
  4. Josko Gvardiol0.4 xG8 shots, 1g
  5. Max Alleyne0.3 xG1 shot, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Phil Foden carries 5.4% of Manchester City’s build-up value.

  • Build-up per 900.486
    97% of forwards
  • Possession value per 900.860
    92% of forwards

Ranked against 109 forwards 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

33 appearances, oldest first

v Spurs2 shots
1 on target

1g

v Man Utd2 shots
1 on target

at Brentford5 shots
1 on target

v Everton1 shot
0 on target

at Villa2 shots
0 on target

v Bournemouth1 shot
0 on target

v Liverpool2 shots
0 on target

at Newcastle3 shots
0 on target

2g

v Leeds4 shots
3 on target

2g

at Fulham2 shots
2 on target

1g

v Sunderland5 shots
1 on target

1g

at Palace3 shots
2 on target

v West Ham2 shots
1 on target

at Forest5 shots
1 on target

at Sunderland3 shots
0 on target

v Chelsea2 shots
0 on target

v Fulham4 shots
2 on target

v Newcastle1 shot
1 on target

v Forest2 shots
1 on target

at Everton1 shot
0 on target

v Brentford2 shots
2 on target

v Palace1 shot
0 on target

11 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 11 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.