-0.65goals above what the league converts the same chances into
Build-up per 90
0.153% of Leeds’ build-up value
league 0.24
Ilia Gruev ranks 232nd of 398 qualified players for attacking involvement, shooting from 20.8m on average, with 76% of their danger coming from set pieces. They carry 3% of Leeds’ attacking involvement, the 13th largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.0013th
Non-penalty goals
0.0013th
xG
0.0527th
Non-penalty xG
0.0528th
Shots
0.489th
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.730th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.2188th
Expected assists
0.1044th
Key passes
0.7634th
npxG + xA
0.1532nd
xG chain
0.2515th
xG build-up
0.1514th
Assists against xA
+1.593rd
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
3.4820th
Defensive contribution
7.7848th
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 7
Next fixture
Gameweek 7
vsManchester United
Sun 18 Oct, 13:00 UTC
Manchester United concede 11.6 shots a match and are 0.87× the league norm against midfielders. A difficult one.
Projected shots
0.43
0.48 per 90 × 0.90
Projected on target
0.06
0.07 per 90 × 0.89
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
23 appearances
Over 0.55 of 2322%± 9
Over 1.52 of 239%± 6
Over 2.50 of 230%± 0
Over 3.50 of 230%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 23.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Ilia Gruev’soutput.
Chances received
who supplies them
Brenden Aaronson0.0 xG1 shot, 0g
Dominic Calvert-Lewin0.0 xG1 shot, 0g
Ethan Ampadu0.0 xG1 shot, 0g
Chances created
who they supply
Dominic Calvert-Lewin0.6 xG1 shot, 1g
Jayden Bogle0.3 xG1 shot, 1g
Brenden Aaronson0.2 xG2 shots, 1g
Jaka Bijol0.1 xG1 shot, 0g
Noah Okafor0.1 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Ilia Gruev carries 3.0%of Leeds’ build-up value.
Build-up per 900.153
13% of midfielders
Possession value per 900.246
15% 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
23 appearances, oldest first
over 1.5
v Fulham1 shot 0 on target
at Everton1 shot 0 on target
v Forest2 shots 1 on target
at Villa2 shots 0 on target
at Man Utd1 shot 0 on target
18 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 18 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.
