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Aston Villa

Clement Lenglet

Defender
Non-penalty xG per 90
0.080 non-penalty goals from 7 shots
Expected assists per 90
0.071 assists, 2 key passes
Finishing
-0.94goals above what the league converts the same chances into
Build-up per 90
0.565% of Aston Villa’s build-up value

Clement Lenglet ranks 236th of 402 qualified players for attacking involvement, shooting from 8.0m on average, with 100% of their danger coming from set pieces.

Against their position

135 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.08
Non-penalty xG
0.08
Shots
0.54
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-1.0

2 figures here come from match-event data, which is not recorded for 2023/24.

Creating

per 90
Assists
0.08
Expected assists
0.07
Key passes
0.15
npxG + xA
0.14
xG chain
0.56
xG build-up
0.56
Assists against xA
+0.1

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2023/24.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2023/24.

Discipline

per 90
Yellow cards
3season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2023/24.

Ranked against 135 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

vs Manchester City

Sat 24 Oct, 11:30 UTC

Manchester City concede 7.8 shots a match and are 0.74× the league norm against defenders. A difficult one.

Projected shots
0.35

0.54 per 90 × 0.65

Projected on target
0.09

0.15 per 90 × 0.60

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

Shots

14 appearances
  • Over 0.55 of 1436%± 13
  • Over 1.52 of 1414%± 9
  • Over 2.50 of 140%± 0
  • Over 3.50 of 140%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 9 of 14.

Shooting profile

7 shots

Where they shoot

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

Clement Lenglet, 2023/24, final 35m.

left
8%
Centre
92%
right
0%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.141
Shots per 90
0.54
Key passes per 90
0.15
Average shot distance
8.0m
From set pieces
100%

How the chances arrive

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

Club role

Aston Villa

What they are for

  • Corners and set piecesSupplies 7% of Aston Villa’s dead-ball danger, from 2 deliveries that became shots.
  • On the pitch34% of available minutes.

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

Chances received

who supplies them
  1. Douglas Luiz0.2 xG4 shots, 0g
  2. John McGinn0.1 xG1 shot, 0g
  3. Leon Bailey0.1 xG1 shot, 0g

Chances created

who they supply
  1. Leander Dendoncker0.8 xG1 shot, 1g
  2. Ollie Watkins0.1 xG1 shot, 0g

Season record

2023/24

Involvement in build-up

excludes their own shots and final passes

Clement Lenglet carries 5.1% of Aston Villa’s build-up value.

  • Build-up per 900.562
    93% of defenders
  • Possession value per 900.562
    85% of defenders

Ranked against 135 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

14 appearances, oldest first

v Newcastle2 shots
0 on target

v Man Utd1 shot
1 on target

at Fulham1 shot
0 on target

at Luton1 shot
0 on target

at Man City2 shots
1 on target

9 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 9 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.