-0.68goals above what the league converts the same chances into
Build-up per 90
0.343% of Aston Villa’s build-up value
league 0.24
Jadon Sancho ranks 127th of 398 qualified players for attacking involvement, shooting from 18.1m on average. They carry 3% of Aston Villa’s attacking involvement, the 10th largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.0013th
Non-penalty goals
0.0013th
xG
0.0848th
Non-penalty xG
0.0849th
Shots
1.0550th
npxG per shot
0.0843rd
Shot distance
18.1m64th
Set-piece share
8%23rd
Goals against xG
-0.828th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.2189th
Expected assists
0.2184th
Key passes
2.2096th
npxG + xA
0.3073rd
xG chain
0.5481st
xG build-up
0.3477th
Assists against xA
-0.161st
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
0season 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.
This week
Gameweek 8
Next fixture
Gameweek 8
vsManchester 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
0.87
1.05 per 90 × 0.83
Projected on target
0.25
0.31 per 90 × 0.81
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
23 appearances
Over 0.59 of 2339%± 10
Over 1.51 of 234%± 4
Over 2.50 of 230%± 0
Over 3.50 of 230%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 14 of 23.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Jadon Sancho’soutput.
Chances received
who supplies them
Morgan Rogers0.1 xG2 shots, 0g
Youri Tielemans0.1 xG1 shot, 0g
Tyrone Mings0.0 xG1 shot, 0g
Lucas Digne0.0 xG1 shot, 0g
Ezri Konsa Ngoyo0.0 xG1 shot, 0g
Chances created
who they supply
Youri Tielemans0.7 xG3 shots, 0g
Morgan Rogers0.6 xG6 shots, 1g
Amadou Onana0.3 xG1 shot, 0g
Ross Barkley0.1 xG3 shots, 0g
Ezri Konsa Ngoyo0.1 xG2 shots, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Jadon Sancho carries 3.4%of Aston Villa’s build-up value.
Build-up per 900.337
77% of midfielders
Possession value per 900.541
80% 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
23 appearances, oldest first
over 1.5
at Sunderland1 shot 0 on target
v Man City2 shots 2 on target
at Liverpool1 shot 0 on target
at Chelsea1 shot 1 on target
v Forest1 shot 0 on target
v Brentford1 shot 0 on target
at Bournemouth1 shot 0 on target
v Brighton1 shot 0 on target
v West Ham1 shot 0 on target
14 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 14 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.