+0.34goals above what the league converts the same chances into
Build-up per 90
0.4813% of Aston Villa’s build-up value
league 0.27
Youri Tielemans ranks 128th of 397 qualified players for attacking involvement, shooting from 19.7m on average, with 52% of their danger coming from set pieces. They carry 12% of Aston Villa’s attacking involvement, the 3rd largest share in the squad.
Against their position
137 midfielders
Shooting
per 90
Goals
0.0956th
Non-penalty goals
0.0957th
xG
0.1161st
Non-penalty xG
0.0950th
Shots
1.2157th
npxG per shot
0.0738th
Shot distance
19.7m46th
Set-piece share
52%84th
Goals against xG
+0.163rd
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.2184th
Expected assists
0.2489th
Key passes
1.7785th
npxG + xA
0.3272nd
xG chain
0.6384th
xG build-up
0.4890th
Assists against xA
-1.021st
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
4season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2024/25.
Ranked against 137 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.
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
36 appearances
Over 0.521 of 3658%± 8
Over 1.514 of 3639%± 8
Over 2.54 of 3611%± 5
Over 3.52 of 366%± 4
The band is one standard error, the tick the estimate. Blanks count as misses, 15 of 36.
PenaltiesTakes them: 1 of 6 Aston Villa were awarded.
Corners and set piecesSupplies 19% of Aston Villa’s dead-ball danger, from 24 deliveries that became shots.
When it mattered3 of 3 goals came with the game level or Aston Villa behind.
On the pitch89% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Youri Tielemans’output.
Chances received
who supplies them
John McGinn0.3 xG3 shots, 1g
Lucas Digne0.3 xG2 shots, 1g
Leon Bailey0.2 xG4 shots, 0g
Morgan Rogers0.2 xG4 shots, 0g
Andrés García0.2 xG1 shot, 0g
Chances created
who they supply
Ollie Watkins1.6 xG8 shots, 3g
Morgan Rogers1.6 xG8 shots, 1g
Amadou Onana1.1 xG8 shots, 1g
Jhon Durán0.5 xG3 shots, 0g
Tyrone Mings0.5 xG2 shots, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Youri Tielemans carries 12.8%of Aston Villa’s build-up value.
Build-up per 900.478
90% of midfielders
Possession value per 900.627
84% of midfielders
Ranked against 137 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
36 appearances, oldest first
over 1.5
at West Ham2 shots 0 on target
at Ipswich1 shot 0 on target
v Man Utd2 shots 1 on target
v Bournemouth4 shots 1 on target
v Palace1 shot 1 on target
v Brentford1 shot 0 on target
v Brighton2 shots 0 on target
v Leicester2 shots 1 on target
at Everton1 shot 0 on target
1g
at Arsenal3 shots 1 on target
v West Ham1 shot 0 on target
at Wolves3 shots 1 on target
v Ipswich1 shot 0 on target
1g
v Liverpool2 shots 1 on target
at Palace2 shots 1 on target
at Brentford2 shots 1 on target
v Forest2 shots 1 on target
at Southampton4 shots 2 on target
v Newcastle1 shot 0 on target
1g
v Fulham2 shots 1 on target
at Man Utd2 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.
