-0.24goals above what the league converts the same chances into
Build-up per 90
0.356% of Aston Villa’s build-up value
league 0.28
Lucas Digne ranks 223rd of 402 qualified players for attacking involvement, shooting from 21.1m on average, with 51% of their danger coming from set pieces. They carry 3% of Aston Villa’s attacking involvement, the 11th largest share in the squad.
Unavailable. Has joined Paris Saint-Germain permanently. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.
Against their position
135 defenders
Shooting
per 90
Goals
0.0447th
Non-penalty goals
0.0447th
xG
0.0546th
Non-penalty xG
0.0546th
Shots
0.7578th
npxG per shot
0.0620th
Shot distance
21.1m23rd
Set-piece share
51%35th
Goals against xG
-0.337th
2 figures here come from match-event data, which is not recorded for 2023/24.
Creating
per 90
Assists
0.1180th
Expected assists
0.1183rd
Key passes
1.3891st
npxG + xA
0.1671st
xG chain
0.4066th
xG build-up
0.3567th
Assists against xA
+0.165th
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
7season 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
vsManchester 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
0.49
0.75 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
33 appearances
Over 0.517 of 3352%± 9
Over 1.53 of 339%± 5
Over 2.50 of 330%± 0
Over 3.50 of 330%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 16 of 33.
Open-play crosses7 crosses from open play became shots, worth 0.56 xG.
Corners and set piecesSupplies 10% of Aston Villa’s dead-ball danger, from 15 deliveries that became shots.
On the pitch70% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Lucas Digne’soutput.
Chances received
who supplies them
Moussa Diaby0.5 xG2 shots, 1g
John McGinn0.1 xG4 shots, 0g
Ezri Konsa Ngoyo0.1 xG1 shot, 0g
Ollie Watkins0.1 xG1 shot, 0g
Morgan Rogers0.0 xG1 shot, 0g
Chances created
who they supply
Ollie Watkins0.5 xG5 shots, 0g
Leon Bailey0.4 xG5 shots, 1g
Pau Torres0.4 xG2 shots, 0g
Moussa Diaby0.3 xG3 shots, 1g
Matthew Cash0.3 xG4 shots, 0g
Season record
2023/24
Involvement in build-up
excludes their own shots and final passes
Lucas Digne carries 6.5%of Aston Villa’s build-up value.
Build-up per 900.345
67% of defenders
Possession value per 900.396
66% 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
33 appearances, oldest first
over 1.5
v Everton1 shot 0 on target
v Palace1 shot 0 on target
at Chelsea2 shots 1 on target
v Brighton1 shot 0 on target
at Forest1 shot 0 on target
at Spurs1 shot 1 on target
at Bournemouth1 shot 0 on target
v Man City1 shot 0 on target
v Arsenal2 shots 1 on target
v Sheffield Utd1 shot 0 on target
v Forest1 shot 0 on target
1g
at Luton1 shot 1 on target
v Spurs1 shot 0 on target
v Brentford2 shots 0 on target
at Arsenal1 shot 0 on target
v Chelsea1 shot 0 on target
v Liverpool1 shot 0 on target
16 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 16 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.
