+2.40goals above what the league converts the same chances into
Build-up per 90
0.231% of Aston Villa’s build-up value
league 0.27
Jhon Durán ranks 5th of 397 qualified players for attacking involvement, shooting from 15.7m on average. They carry 4% of Aston Villa’s attacking involvement, the 10th largest share in the squad.
Against their position
104 forwards
Shooting
per 90
Goals
1.12100th
Non-penalty goals
1.12100th
xG
0.8299th
Non-penalty xG
0.8299th
Shots
4.96100th
npxG per shot
0.1666th
Shot distance
15.7m53rd
Set-piece share
13%42nd
Goals against xG
+1.990th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.008th
Expected assists
0.042nd
Key passes
0.649th
npxG + xA
0.8596th
xG chain
0.9192nd
xG build-up
0.2359th
Assists against xA
-0.250th
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
3season count
Red cards
1season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 104 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 9.3 shots a match and are 0.75× the league norm against forwards. A difficult one.
Projected shots
3.65
4.96 per 90 × 0.74
Projected on target
1.82
2.40 per 90 × 0.76
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
20 appearances
Over 0.514 of 2070%± 10
Over 1.511 of 2055%± 11
Over 2.56 of 2030%± 10
Over 3.50 of 200%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 6 of 20.
GoalNo goalMark area is the chance’s expected goals
Jhon Durán, 2024/25, 31 shots in the final 35m, 7 scored.
left
35%
Centre
63%
right
2%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.165
Shots per 90
4.96
Key passes per 90
0.64
Average shot distance
15.7m
From set pieces
13%
How the chances arrive
Crosses
10%
Through balls
13%
Own dribble
0%
Headed
9%
Club role
Aston Villa
What they are for
When it mattered5 of 7 goals came with the game level or Aston Villa behind.
On the pitch16% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Jhon Durán’soutput.
Chances received
who supplies them
Lucas Digne1.2 xG4 shots, 1g
Morgan Rogers1.1 xG3 shots, 2g
Youri Tielemans0.5 xG3 shots, 0g
Ian Maatsen0.5 xG5 shots, 0g
Jacob Ramsey0.5 xG3 shots, 1g
Chances created
who they supply
Ollie Watkins0.1 xG1 shot, 0g
Morgan Rogers0.1 xG1 shot, 0g
Jacob Ramsey0.1 xG1 shot, 0g
Ross Barkley0.1 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Jhon Durán carries 1.1%of Aston Villa’s build-up value.
Build-up per 900.228
59% of forwards
Possession value per 900.909
91% of forwards
Ranked against 104 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
20 appearances, oldest first
over 1.5
1g
at West Ham2 shots 1 on target
v Arsenal1 shot 0 on target
1g
at Leicester2 shots 2 on target
1g
v Everton3 shots 1 on target
1g
v Wolves2 shots 1 on target
at Fulham1 shot 0 on target
v Bournemouth3 shots 1 on target
v Palace1 shot 0 on target
at Chelsea2 shots 1 on target
v Brentford3 shots 2 on target
1g
v Southampton3 shots 2 on target
1g
at Forest3 shots 1 on target
1g
v Man City3 shots 3 on target
v West Ham2 shots 0 on target
6 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 6 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.