-0.18goals above what the league converts the same chances into
Build-up per 90
0.292% of Aston Villa’s build-up value
league 0.24
Donyell Malen ranks 6th of 398 qualified players for attacking involvement, shooting from 15.7m on average. They carry 5% of Aston Villa’s attacking involvement, the 6th largest share in the squad.
Against their position
109 forwards
Shooting
per 90
Goals
0.6095th
Non-penalty goals
0.6097th
xG
0.7198th
Non-penalty xG
0.7198th
Shots
3.9099th
npxG per shot
0.1875th
Shot distance
15.7m52nd
Set-piece share
13%38th
Goals against xG
-0.754th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1569th
Expected assists
0.0616th
Key passes
1.0552nd
npxG + xA
0.7796th
xG chain
0.9696th
xG build-up
0.2983rd
Assists against xA
+0.685th
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 109 forwards 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 0.86× the league norm against forwards. A difficult one.
Projected shots
3.20
3.90 per 90 × 0.82
Projected on target
1.09
1.35 per 90 × 0.81
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
21 appearances
Over 0.513 of 2162%± 11
Over 1.57 of 2133%± 10
Over 2.54 of 2119%± 9
Over 3.51 of 215%± 5
The band is one standard error, the tick the estimate. Blanks count as misses, 8 of 21.
GoalNo goalMark area is the chance’s expected goals
Donyell Malen, 2025/26, 26 shots in the final 35m, 4 scored.
left
38%
Centre
28%
right
35%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.182
Shots per 90
3.90
Key passes per 90
1.05
Average shot distance
15.7m
From set pieces
13%
How the chances arrive
Crosses
3%
Through balls
5%
Own dribble
8%
Headed
0%
Club role
Aston Villa
What they are for
When it mattered1 of 4 goals came with the game level or Aston Villa behind.
On the pitch18% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Donyell Malen’soutput.
Chances received
who supplies them
Youri Tielemans0.7 xG6 shots, 1g
Lucas Digne0.4 xG1 shot, 0g
Ross Barkley0.4 xG2 shots, 0g
Morgan Rogers0.3 xG1 shot, 1g
John McGinn0.3 xG3 shots, 0g
Chances created
who they supply
Morgan Rogers0.2 xG3 shots, 1g
John McGinn0.1 xG2 shots, 0g
Harvey Elliott0.1 xG1 shot, 0g
Lucas Digne0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Donyell Malen carries 2.0%of Aston Villa’s build-up value.
Build-up per 900.288
83% of forwards
Possession value per 900.958
95% of forwards
Ranked against 109 forwards 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
21 appearances, oldest first
over 1.5
v Newcastle1 shot 1 on target
v Palace2 shots 0 on target
at Sunderland1 shot 0 on target
2g
v Burnley3 shots 2 on target
at Spurs1 shot 0 on target
at Liverpool1 shot 0 on target
1g
v Bournemouth3 shots 1 on target
at Leeds2 shots 0 on target
v Wolves5 shots 1 on target
1g
at Brighton2 shots 2 on target
v Arsenal1 shot 0 on target
at West Ham1 shot 1 on target
at Arsenal3 shots 1 on target
8 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 8 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.