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West Ham

Aaron Wan-Bissaka

Defender28 yrs
75% chance
Non-penalty xG per 90
0.000 non-penalty goals from 0 shots
Expected assists per 90
0.062 assists, 18 key passes
Finishing
0.00goals above what the league converts the same chances into
Build-up per 90
0.136% of West Ham’s build-up value

Aaron Wan-Bissaka ranks 329th of 398 qualified players for attacking involvement, shooting from 0.0m on average. They carry 3% of West Ham’s attacking involvement, the 11th largest share in the squad.

75% chance. Hamstring injury - 75% chance of playing. Weigh the rates below against the chance he features at all. Club status as of 18 Oct 2026.

Against their position

142 midfielders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.00
Non-penalty xG
0.00
Shots
0.00
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
0.0

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

Creating

per 90
Assists
0.09
Expected assists
0.06
Key passes
0.77
npxG + xA
0.06
xG chain
0.16
xG build-up
0.13
Assists against xA
+0.6

On the ball

per 90

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

Defending

per 90
Recoveries
3.25
Defensive contribution
7.53

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 142 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.

This week

Gameweek 8

Next fixture

Gameweek 8

vs Manchester City

Sat 24 Oct, 11:30 UTC

Manchester City concede 9.8 shots a match and are 0.88× the league norm against midfielders. A difficult one.

Projected shots
0.00

0.00 per 90 × 0.83

Projected on target
0.00

0.00 per 90 × 0.81

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

Shots

25 appearances
  • Over 0.50 of 250%± 0
  • Over 1.50 of 250%± 0
  • Over 2.50 of 250%± 0
  • Over 3.50 of 250%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 25 of 25.

Shooting profile

0 shots

Where they shoot

0 shots
Every shotBy zone
No shots recordedOpponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Aaron Wan-Bissaka, 2025/26, final 35m.

left
0%
Centre
0%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.000
Shots per 90
0.00
Key passes per 90
0.77
Average shot distance
0.0m
From set pieces
0%

How the chances arrive

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

Club role

West Ham

What they are for

  • Open-play crosses7 crosses from open play became shots, worth 0.43 xG.
  • 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 Aaron Wan-Bissaka’soutput.

Chances received

who supplies them
UncollectedNo assisted shots recorded for Aaron Wan-Bissaka this season.

Chances created

who they supply
  1. Valentín Castellanos0.5 xG2 shots, 0g
  2. Jarrod Bowen0.4 xG7 shots, 1g
  3. Callum Wilson0.3 xG4 shots, 0g
  4. Crysencio Summerville0.1 xG1 shot, 1g
  5. Mateus Fernandes0.1 xG1 shot, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Aaron Wan-Bissaka carries 5.8% of West Ham’s build-up value.

  • Build-up per 900.133
    8% of midfielders
  • Possession value per 900.165
    1% of midfielders

Ranked against 142 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

No shots yet25 appearances this season, none of them containing a shot. The matches are counted in every rate above; there is simply nothing to draw.

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.