-0.45goals above what the league converts the same chances into
Build-up per 90
0.276% of Aston Villa’s build-up value
league 0.24
Amadou Onana ranks 220th of 398 qualified players for attacking involvement, shooting from 19.1m on average, with 60% of their danger coming from set pieces. They carry 5% of Aston Villa’s attacking involvement, the 8th largest share in the squad.
Injured. Knee injury - Unknown return date. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.
Against their position
142 midfielders
Shooting
per 90
Goals
0.1063rd
Non-penalty goals
0.1065th
xG
0.1476th
Non-penalty xG
0.1476th
Shots
0.9543rd
npxG per shot
0.1594th
Shot distance
19.1m52nd
Set-piece share
60%88th
Goals against xG
-0.826th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.0011th
Expected assists
0.035th
Key passes
0.356th
npxG + xA
0.1636th
xG chain
0.3436th
xG build-up
0.2750th
Assists against xA
-0.546th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
3.6926th
Defensive contribution
11.2385th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
3season 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
0.79
0.95 per 90 × 0.83
Projected on target
0.24
0.30 per 90 × 0.81
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
25 appearances
Over 0.510 of 2540%± 10
Over 1.56 of 2524%± 9
Over 2.53 of 2512%± 6
Over 3.50 of 250%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 15 of 25.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Amadou Onana’soutput.
Chances received
who supplies them
Matthew Cash0.6 xG2 shots, 1g
Tyrone Mings0.5 xG1 shot, 0g
John McGinn0.5 xG4 shots, 0g
Jadon Sancho0.3 xG1 shot, 0g
Douglas Luiz0.1 xG3 shots, 0g
Chances created
who they supply
John McGinn0.3 xG2 shots, 0g
Morgan Rogers0.1 xG2 shots, 0g
Leon Bailey0.0 xG1 shot, 0g
Emiliano Buendía0.0 xG1 shot, 0g
Ross Barkley0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Amadou Onana carries 5.6%of Aston Villa’s build-up value.
Build-up per 900.267
49% of midfielders
Possession value per 900.342
36% 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
25 appearances, oldest first
over 1.5
at Brentford2 shots 1 on target
1g
v Bournemouth1 shot 1 on target
1g
at Brighton2 shots 1 on target
v Brighton3 shots 0 on target
v Leeds1 shot 1 on target
at Wolves3 shots 0 on target
at Man Utd1 shot 1 on target
v West Ham3 shots 0 on target
at Forest1 shot 1 on target
v Sunderland2 shots 0 on target
15 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 15 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.
