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Manchester City

Josko Gvardiol

Left-back24 yrs
Non-penalty xG per 90
0.091 non-penalty goals from 4 shots
Expected assists per 90
0.293 assists, 4 key passes
Finishing
+0.54goals above what the league converts the same chances into
Build-up per 90
0.778% of Manchester City’s build-up value

Josko Gvardiol ranks 35th of 138 qualified players for attacking involvement, shooting from 17.5m on average. They carry 4% of Manchester City’s attacking involvement, the 10th largest share in the squad.

Against their position

81 defenders

Average match rating7.25

Shooting

per 90
Goals
0.19
Non-penalty goals
0.19
xG
0.09
Non-penalty xG
0.09
Shots
0.74
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
+0.5

Creating

per 90
Assists
0.56
Expected assists
0.29
Key passes
0.74
npxG + xA
0.39
xG chain
0.87
xG build-up
0.77
Assists against xA
+1.4

On the ball

per 90
Touches
77.00
Passes
58.00
Pass completion
84%
Take-ons attempted
1.33
Take-on success
–not ranked
Dispossessed
0.00

Defending

per 90
Tackles
3.00
Tackles won
–not ranked
Interceptions
1.67
Clearances
1.33
Aerials won
2.00
Aerial success
40%
Dribbled past
0.67

Discipline

per 90
Fouls committed
1.00
Caught offside
0.00
Errors
1season 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 Aston Villa

Sat 24 Oct, 11:30 UTC

Aston Villa concede 15.8 shots a match and are 0.94× the league norm against full-backs (8 shots so far). Roughly an average matchup.

Projected shots
0.77

0.74 per 90 × 1.04

Projected on target
0.21

0.19 per 90 × 1.16

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

Shots

7 appearances
  • Over 0.54 of 757%± 19
  • Over 1.50 of 70%± 0
  • 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, 3 of 7.

Shooting profile

4 shots

Where they shoot

4 shots
Every shotBy zone
25% of shots, 1 shot25% of shots, 1 shot25% of shots, 1 shot25% of shots, 1 shot25%25%25%25%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Josko Gvardiol, 2026/27, final 35m.

left
18%
Centre
82%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.128
Shots per 90
0.74
Key passes per 90
0.74
Average shot distance
17.5m
From set pieces
5%

How the chances arrive

Crosses
0%
Through balls
84%
Own dribble
0%
Headed
0%

Club role

Manchester City

What they are for

  • On the pitch90% of available minutes.

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

Chances received

who supplies them
  1. Mathis Cherki0.4 xG2 shots, 1g
  2. Jéremy Doku0.1 xG1 shot, 0g

Chances created

who they supply
  1. Mathis Cherki0.8 xG2 shots, 2g
  2. Erling Haaland0.7 xG1 shot, 1g
  3. Antoine Semenyo0.0 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Josko Gvardiol carries 8.1% of Manchester City’s build-up value.

  • Build-up per 900.770
    98% of defenders
  • Possession value per 900.868
    98% 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
1g

v Bournemouth1 shot
1 on target

v Coventry1 shot
0 on target

at Man Utd1 shot
0 on target

at Liverpool1 shot
0 on target

3 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 3 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.