+1.31goals above what the league converts the same chances into
Build-up per 90
0.444% of Aston Villa’s build-up value
league 0.24
Ross Barkley ranks 67th of 398 qualified players for attacking involvement, shooting from 18.6m on average, with 39% of their danger coming from set pieces. They carry 5% of Aston Villa’s attacking involvement, the 7th largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.3398th
Non-penalty goals
0.3398th
xG
0.2189th
Non-penalty xG
0.2190th
Shots
1.9887th
npxG per shot
0.1170th
Shot distance
18.6m56th
Set-piece share
39%74th
Goals against xG
+1.188th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1155th
Expected assists
0.2288th
Key passes
1.1055th
npxG + xA
0.4393rd
xG chain
0.6991st
xG build-up
0.4490th
Assists against xA
-1.031st
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
4.8064th
Defensive contribution
7.8950th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
1season 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.
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
1.65
1.98 per 90 × 0.83
Projected on target
0.71
0.88 per 90 × 0.81
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
21 appearances
Over 0.512 of 2157%± 11
Over 1.54 of 2119%± 9
Over 2.51 of 215%± 5
Over 3.51 of 215%± 5
The band is one standard error, the tick the estimate. Blanks count as misses, 9 of 21.
GoalNo goalMark area is the chance’s expected goals
Ross Barkley, 2025/26, 18 shots in the final 35m, 3 scored.
left
31%
Centre
32%
right
37%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.106
Shots per 90
1.98
Key passes per 90
1.10
Average shot distance
18.6m
From set pieces
39%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%
Club role
Aston Villa
What they are for
When it mattered2 of 3 goals came with the game level or Aston Villa behind.
On the pitch24% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Ross Barkley’soutput.
Chances received
who supplies them
John McGinn0.6 xG2 shots, 1g
Ollie Watkins0.3 xG1 shot, 0g
Lucas Digne0.3 xG4 shots, 1g
Jadon Sancho0.1 xG3 shots, 0g
Matthew Cash0.1 xG1 shot, 0g
Chances created
who they supply
Ollie Watkins0.6 xG2 shots, 1g
Morgan Rogers0.6 xG2 shots, 0g
Donyell Malen0.4 xG2 shots, 0g
Tammy Abraham0.3 xG1 shot, 0g
Ian Maatsen0.1 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Ross Barkley carries 4.2%of Aston Villa’s build-up value.
Build-up per 900.440
89% of midfielders
Possession value per 900.688
91% 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
21 appearances, oldest first
over 1.5
v Burnley1 shot 0 on target
at Liverpool2 shots 1 on target
1g
v Bournemouth1 shot 1 on target
v Brighton1 shot 0 on target
v Leeds2 shots 0 on target
v Chelsea1 shot 0 on target
1g
at Man Utd1 shot 1 on target
v West Ham2 shots 1 on target
at Forest1 shot 1 on target
v Sunderland1 shot 1 on target
1g
at Burnley4 shots 2 on target
v Liverpool1 shot 0 on target
9 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 9 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.
