+0.55goals above what the league converts the same chances into
Build-up per 90
0.285% of Aston Villa’s build-up value
league 0.27
Matthew Cash ranks 289th of 397 qualified players for attacking involvement, shooting from 20.0m on average, with 31% of their danger coming from set pieces. They carry 3% of Aston Villa’s attacking involvement, the 12th largest share in the squad.
Against their position
137 midfielders
Shooting
per 90
Goals
0.0438th
Non-penalty goals
0.0438th
xG
0.0214th
Non-penalty xG
0.0214th
Shots
0.5621st
npxG per shot
0.0410th
Shot distance
20.0m41st
Set-piece share
31%71st
Goals against xG
+0.583rd
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0430th
Expected assists
0.0630th
Key passes
0.438th
npxG + xA
0.0915th
xG chain
0.3123rd
xG build-up
0.2854th
Assists against xA
-0.538th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2024/25.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2024/25.
Discipline
per 90
Yellow cards
7season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 137 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 9.3 shots a match and are 0.68× the league norm against midfielders. A difficult one.
Projected shots
0.39
0.56 per 90 × 0.70
Projected on target
0.20
0.26 per 90 × 0.76
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
27 appearances
Over 0.512 of 2744%± 10
Over 1.51 of 274%± 4
Over 2.50 of 270%± 0
Over 3.50 of 270%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 15 of 27.
GoalNo goalMark area is the chance’s expected goals
Matthew Cash, 2024/25, 13 shots in the final 35m, 1 scored.
left
5%
Centre
5%
right
90%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.038
Shots per 90
0.56
Key passes per 90
0.43
Average shot distance
20.0m
From set pieces
31%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
5%
Club role
Aston Villa
What they are for
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 Matthew Cash’soutput.
Chances received
who supplies them
John McGinn0.1 xG1 shot, 0g
Morgan Rogers0.0 xG1 shot, 0g
Marco Asensio0.0 xG1 shot, 0g
Marcus Rashford0.0 xG1 shot, 0g
Boubacar Kamara0.0 xG1 shot, 0g
Chances created
who they supply
Ollie Watkins0.7 xG3 shots, 1g
Leon Bailey0.5 xG2 shots, 0g
Ross Barkley0.1 xG1 shot, 0g
Donyell Malen0.1 xG1 shot, 0g
Ezri Konsa Ngoyo0.0 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Matthew Cash carries 5.2%of Aston Villa’s build-up value.
Build-up per 900.284
53% of midfielders
Possession value per 900.306
23% of midfielders
Ranked against 137 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
27 appearances, oldest first
over 1.5
v Man Utd1 shot 0 on target
1g
v Brentford1 shot 1 on target
at Forest1 shot 1 on target
v Man City1 shot 0 on target
at Newcastle1 shot 0 on target
v Leicester1 shot 1 on target
v Liverpool1 shot 1 on target
at Brighton1 shot 0 on target
at Southampton2 shots 0 on target
at Bournemouth1 shot 1 on target
v Spurs1 shot 0 on target
at Man Utd1 shot 1 on target
15 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 15 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.
