-3.06goals above what the league converts the same chances into
Build-up per 90
0.398% of Manchester United’s build-up value
league 0.24
Amad Diallo Traore ranks 62nd of 398 qualified players for attacking involvement, shooting from 17.3m on average. They carry 10% of Manchester United’s attacking involvement, the 3rd largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.0852nd
Non-penalty goals
0.0853rd
xG
0.2291st
Non-penalty xG
0.2293rd
Shots
2.0891st
npxG per shot
0.1169th
Shot distance
17.3m72nd
Set-piece share
8%22nd
Goals against xG
-3.71st
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1259th
Expected assists
0.2285th
Key passes
1.5479th
npxG + xA
0.4494th
xG chain
0.7293rd
xG build-up
0.3986th
Assists against xA
-2.64th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
4.3145th
Defensive contribution
7.6244th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
2season 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 7
Next fixture
Gameweek 7
away toLeeds
Sun 18 Oct, 13:00 UTC
Leeds concede 12.6 shots a match and are 1.01× the league norm against midfielders. Roughly an average matchup.
Projected shots
2.09
2.08 per 90 × 1.00
Projected on target
0.77
0.77 per 90 × 1.00
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
32 appearances
Over 0.524 of 3275%± 8
Over 1.518 of 3256%± 9
Over 2.58 of 3225%± 8
Over 3.53 of 329%± 5
The band is one standard error, the tick the estimate. Blanks count as misses, 8 of 32.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Amad Diallo Traore’soutput.
Chances received
who supplies them
Bruno Fernandes1.1 xG13 shots, 0g
Bryan Mbeumo0.8 xG5 shots, 0g
Kobbie Mainoo0.5 xG3 shots, 0g
Matheus Cunha0.5 xG3 shots, 0g
Patrick Dorgu0.2 xG4 shots, 0g
Chances created
who they supply
Bryan Mbeumo2.9 xG9 shots, 3g
Joshua Zirkzee1.0 xG4 shots, 0g
Bruno Fernandes0.8 xG14 shots, 0g
Benjamin Sesko0.4 xG1 shot, 0g
Matheus Cunha0.3 xG3 shots, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Amad Diallo Traore carries 7.9%of Manchester United’s build-up value.
Build-up per 900.386
85% of midfielders
Possession value per 900.718
92% 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
32 appearances, oldest first
over 1.5
v Arsenal1 shot 1 on target
at Fulham2 shots 1 on target
v Burnley3 shots 1 on target
at Man City2 shots 0 on target
v Chelsea2 shots 0 on target
v Sunderland2 shots 1 on target
1g
at Forest4 shots 2 on target
v Everton5 shots 1 on target
at Palace1 shot 0 on target
at Wolves3 shots 0 on target
1g
v Bournemouth4 shots 1 on target
v Man City3 shots 1 on target
v Fulham2 shots 1 on target
v Spurs1 shot 1 on target
at West Ham1 shot 0 on target
at Everton1 shot 0 on target
v Palace2 shots 2 on target
v Villa3 shots 1 on target
at Bournemouth2 shots 1 on target
v Leeds2 shots 1 on target
v Brentford3 shots 1 on target
at Sunderland1 shot 0 on target
v Forest2 shots 1 on target
at Brighton2 shots 2 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.