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Joshua King

Attacking midfielder19 yrs
Non-penalty xG per 90
0.282 non-penalty goals from 17 shots
Expected assists per 90
0.260 assists, 9 key passes
Finishing
+0.37goals above what the league converts the same chances into
Build-up per 90
0.478% of Fulham’s build-up value

Joshua King ranks 20th of 138 qualified players for attacking involvement, shooting from 17.0m on average. They carry 16% of Fulham’s attacking involvement, the 3rd largest share in the squad.

Against their position

87 midfielders

Average match rating7.08

Shooting

per 90
Goals
0.31
Non-penalty goals
0.31
xG
0.28
Non-penalty xG
0.28
Shots
2.62
Shots on target
1.00
Shot accuracy
–not ranked
npxG per shot
0.11
Shot distance
17.0m
Set-piece share
9%
Goals against xG
+0.2

Creating

per 90
Assists
0.00
Expected assists
0.26
Key passes
1.39
npxG + xA
0.54
xG chain
0.88
xG build-up
0.47
Assists against xA
-1.7

On the ball

per 90
Touches
53.33
Passes
36.33
Pass completion
83%
Take-ons attempted
4.67
Take-on success
36%
Dispossessed
0.67

Defending

per 90
Tackles
2.33
Tackles won
–not ranked
Interceptions
0.33
Clearances
0.67
Aerials won
0.00
Aerial success
–not ranked
Dribbled past
0.67

Discipline

per 90
Fouls committed
1.00
Caught offside
0.00
Errors
0season count
Yellow cards
3season count
Red cards
0season count

Ranked against 87 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 to Coventry

Sat 24 Oct, 14:00 UTC

Coventry concede 17.7 shots a match and are 1.21× the league norm against central attack (34 shots so far). A favourable draw.

Projected shots
3.25

2.62 per 90 × 1.24

Projected on target
1.00

1.08 per 90 × 0.93

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

Shots

7 appearances
  • Over 0.55 of 771%± 17
  • Over 1.55 of 771%± 17
  • Over 2.53 of 743%± 19
  • Over 3.51 of 714%± 13

The band is one standard error, the tick the estimate. Blanks count as misses, 2 of 7.

Shooting profile

17 shots

Where they shoot

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

Joshua King, 2026/27, 14 shots in the final 35m, 2 scored.

left
36%
Centre
17%
right
47%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.107
Shots per 90
2.62
Key passes per 90
1.39
Average shot distance
17.0m
From set pieces
9%

How the chances arrive

Crosses
24%
Through balls
33%
Own dribble
0%
Headed
0%

Club role

Fulham

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 Joshua King’soutput.

Chances received

who supplies them
  1. Alex Iwobi0.8 xG4 shots, 0g
  2. Antonee Robinson0.2 xG3 shots, 0g
  3. Shea Charles0.1 xG1 shot, 0g
  4. David Affengruber0.1 xG1 shot, 0g
  5. Oscar Bobb0.0 xG1 shot, 0g

Chances created

who they supply
  1. Gonzalo García0.8 xG2 shots, 0g
  2. Oscar Bobb0.6 xG2 shots, 0g
  3. Rodrigo Muniz0.1 xG1 shot, 0g
  4. César Palacios0.0 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Joshua King carries 8.1% of Fulham’s build-up value.

  • Build-up per 900.471
    79% of midfielders
  • Possession value per 900.876
    88% of midfielders

Ranked against 52 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

7 appearances, oldest first
1g

v Chelsea3 shots
2 on target

at Sunderland2 shots
0 on target

1g

v Palace2 shots
1 on target

at Liverpool4 shots
2 on target

v Man Utd3 shots
2 on target

2 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 2 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.