+2.35goals above what the league converts the same chances into
Build-up per 90
0.246% of Aston Villa’s build-up value
league 0.24
John McGinn ranks 118th of 398 qualified players for attacking involvement, shooting from 19.7m on average. They carry 8% of Aston Villa’s attacking involvement, the 3rd largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.2086th
Non-penalty goals
0.2088th
xG
0.1268th
Non-penalty xG
0.1268th
Shots
1.1355th
npxG per shot
0.1172nd
Shot distance
19.7m49th
Set-piece share
10%27th
Goals against xG
+2.094th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1675th
Expected assists
0.2081st
Key passes
1.5881st
npxG + xA
0.3276th
xG chain
0.4461st
xG build-up
0.2438th
Assists against xA
-0.933rd
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
3.7528th
Defensive contribution
6.3223rd
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
5season 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
0.94
1.13 per 90 × 0.83
Projected on target
0.39
0.49 per 90 × 0.81
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
30 appearances
Over 0.519 of 3063%± 9
Over 1.56 of 3020%± 7
Over 2.52 of 307%± 5
Over 3.51 of 303%± 3
The band is one standard error, the tick the estimate. Blanks count as misses, 11 of 30.
Corners and set piecesSupplies 8% of Aston Villa’s dead-ball danger, from 7 deliveries that became shots.
When it mattered2 of 5 goals came with the game level or Aston Villa behind.
On the pitch65% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of John McGinn’soutput.
Chances received
who supplies them
Youri Tielemans0.4 xG3 shots, 1g
Amadou Onana0.3 xG2 shots, 0g
Lucas Digne0.3 xG2 shots, 0g
Morgan Rogers0.3 xG2 shots, 0g
Matthew Cash0.2 xG3 shots, 1g
Chances created
who they supply
Ollie Watkins2.1 xG10 shots, 1g
Ross Barkley0.6 xG2 shots, 1g
Amadou Onana0.5 xG4 shots, 0g
Tyrone Mings0.5 xG1 shot, 0g
Morgan Rogers0.4 xG7 shots, 1g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
John McGinn carries 6.2%of Aston Villa’s build-up value.
Build-up per 900.239
37% of midfielders
Possession value per 900.443
61% 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
30 appearances, oldest first
over 1.5
at Brentford1 shot 1 on target
at Sunderland2 shots 0 on target
1g
v Fulham3 shots 1 on target
v Burnley1 shot 0 on target
at Spurs1 shot 0 on target
v Man City2 shots 0 on target
v Bournemouth1 shot 1 on target
at Leeds1 shot 0 on target
v Wolves1 shot 0 on target
at Brighton1 shot 0 on target
v Man Utd1 shot 1 on target
at Arsenal1 shot 1 on target
2g
v Forest2 shots 2 on target
at Man Utd1 shot 0 on target
1g
v West Ham1 shot 1 on target
at Forest2 shots 1 on target
at Burnley4 shots 1 on target
1g
v Liverpool1 shot 1 on target
at Man City1 shot 1 on target
11 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 11 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.