+0.26goals above what the league converts the same chances into
Build-up per 90
0.262% of Aston Villa’s build-up value
league 0.27
Marco Asensio ranks 56th of 397 qualified players for attacking involvement, shooting from 17.3m on average, with 57% of their danger coming from set pieces. They carry 4% of Aston Villa’s attacking involvement, the 11th largest share in the squad.
Against their position
137 midfielders
Shooting
per 90
Goals
0.3696th
Non-penalty goals
0.3697th
xG
0.55100th
Non-penalty xG
0.3697th
Shots
2.8897th
npxG per shot
0.1379th
Shot distance
17.3m77th
Set-piece share
57%88th
Goals against xG
-0.059th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.1259th
Expected assists
0.1567th
Key passes
1.9289th
npxG + xA
0.5294th
xG chain
0.5473rd
xG build-up
0.2646th
Assists against xA
-0.351st
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
2season 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
2.01
2.88 per 90 × 0.70
Projected on target
1.00
1.32 per 90 × 0.76
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
13 appearances
Over 0.58 of 1362%± 13
Over 1.57 of 1354%± 14
Over 2.55 of 1338%± 13
Over 3.54 of 1331%± 13
The band is one standard error, the tick the estimate. Blanks count as misses, 5 of 13.
GoalNo goalMark area is the chance’s expected goals
Marco Asensio, 2024/25, 24 shots in the final 35m, 3 scored.
left
12%
Centre
79%
right
9%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.190
Shots per 90
2.88
Key passes per 90
1.92
Average shot distance
17.3m
From set pieces
57%
How the chances arrive
Crosses
25%
Through balls
5%
Own dribble
0%
Headed
0%
Club role
Aston Villa
What they are for
PenaltiesTakes them: 2 of 6 Aston Villa were awarded.
When it mattered2 of 3 goals came with the game level or Aston Villa behind.
On the pitch22% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Marco Asensio’soutput.
Chances received
who supplies them
Marcus Rashford0.9 xG2 shots, 2g
Morgan Rogers0.5 xG4 shots, 1g
Jacob Ramsey0.5 xG2 shots, 0g
Ian Maatsen0.4 xG2 shots, 0g
Andrés García0.1 xG2 shots, 0g
Chances created
who they supply
Ollie Watkins0.7 xG4 shots, 0g
Donyell Malen0.1 xG1 shot, 1g
Ezri Konsa Ngoyo0.1 xG1 shot, 0g
Youri Tielemans0.1 xG2 shots, 0g
Marcus Rashford0.1 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Marco Asensio carries 1.7%of Aston Villa’s build-up value.
Build-up per 900.262
45% of midfielders
Possession value per 900.542
72% 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
13 appearances, oldest first
over 1.5
v Ipswich4 shots 1 on target
2g
v Chelsea3 shots 2 on target
1g
at Brighton2 shots 2 on target
v Forest4 shots 2 on target
at Southampton4 shots 3 on target
v Newcastle2 shots 0 on target
at Bournemouth1 shot 0 on target
v Spurs4 shots 1 on target
5 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 5 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.
