-0.59goals above what the league converts the same chances into
Build-up per 90
0.215% of Manchester United’s build-up value
league 0.27
Matthijs de Ligt ranks 236th of 397 qualified players for attacking involvement, shooting from 8.8m on average, with 93% of their danger coming from set pieces. They carry 3% of Manchester United’s attacking involvement, the 13th largest share in the squad.
Against their position
123 defenders
Shooting
per 90
Goals
0.0885th
Non-penalty goals
0.0885th
xG
0.1294th
Non-penalty xG
0.1294th
Shots
0.7678th
npxG per shot
0.1698th
Shot distance
8.8m98th
Set-piece share
93%76th
Goals against xG
-0.925th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0026th
Expected assists
0.0120th
Key passes
0.2535th
npxG + xA
0.1370th
xG chain
0.2218th
xG build-up
0.2126th
Assists against xA
-0.343rd
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
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 123 defenders 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 7
Next fixture
Gameweek 7
away toLeeds
Sun 18 Oct, 13:00 UTC
No shot record for Leeds in this season, so no opponent adjustment is possible. Newly promoted sides have no Premier League history to measure.
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
29 appearances
Over 0.514 of 2948%± 9
Over 1.53 of 2910%± 6
Over 2.51 of 293%± 3
Over 3.50 of 290%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 15 of 29.
GoalNo goalMark area is the chance’s expected goals
Matthijs de Ligt, 2024/25, 18 shots in the final 35m, 2 scored.
left
43%
Centre
56%
right
1%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.160
Shots per 90
0.76
Key passes per 90
0.25
Average shot distance
8.8m
From set pieces
93%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%
Club role
Manchester United
What they are for
On the pitch63% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Matthijs de Ligt’soutput.
Chances received
who supplies them
Bruno Fernandes0.7 xG6 shots, 1g
Christian Eriksen0.5 xG2 shots, 0g
Diogo Dalot0.2 xG2 shots, 0g
Alejandro Garnacho0.1 xG2 shots, 0g
Casemiro0.1 xG1 shot, 0g
Chances created
who they supply
Leny Yoro0.1 xG1 shot, 0g
Amad Diallo Traore0.1 xG2 shots, 0g
Alejandro Garnacho0.1 xG2 shots, 0g
Bruno Fernandes0.0 xG1 shot, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Matthijs de Ligt carries 4.7%of Manchester United’s build-up value.
Build-up per 900.210
25% of defenders
Possession value per 900.221
18% of defenders
Ranked against 123 defenders 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
29 appearances, oldest first
over 1.5
1g
at Southampton2 shots 2 on target
at Palace3 shots 3 on target
v Spurs1 shot 0 on target
at Arsenal1 shot 1 on target
at Man City1 shot 0 on target
v Newcastle1 shot 0 on target
at Liverpool1 shot 0 on target
v Southampton1 shot 0 on target
v Brighton1 shot 0 on target
at Fulham1 shot 0 on target
at Spurs2 shots 0 on target
1g
v Ipswich1 shot 1 on target
v Arsenal1 shot 1 on target
at Forest1 shot 1 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.
