-0.66goals above what the league converts the same chances into
Build-up per 90
0.407% of Chelsea’s build-up value
league 0.24
Marc Cucurella ranks 180th of 398 qualified players for attacking involvement, shooting from 15.9m on average, with 22% of their danger coming from set pieces. They carry 7% of Chelsea’s attacking involvement, the 6th largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.0331st
Non-penalty goals
0.0332nd
xG
0.0635th
Non-penalty xG
0.0636th
Shots
0.6621st
npxG per shot
0.0960th
Shot distance
15.9m89th
Set-piece share
22%50th
Goals against xG
-0.923rd
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1369th
Expected assists
0.1567th
Key passes
1.2967th
npxG + xA
0.2152nd
xG chain
0.5072nd
xG build-up
0.4086th
Assists against xA
-0.545th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
8season count
Red cards
1season 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.
This week
Gameweek 8
Next fixture
Gameweek 8
vsTottenham
Sat 24 Oct, 16:30 UTC
Tottenham concede 12.3 shots a match and are 1.06× the league norm against midfielders. Roughly an average matchup.
Projected shots
0.68
0.66 per 90 × 1.02
Projected on target
0.16
0.17 per 90 × 0.98
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
34 appearances
Over 0.516 of 3447%± 9
Over 1.54 of 3412%± 6
Over 2.50 of 340%± 0
Over 3.50 of 340%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 34.
GoalNo goalMark area is the chance’s expected goals
Marc Cucurella, 2025/26, 20 shots in the final 35m, 1 scored.
left
63%
Centre
31%
right
5%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.094
Shots per 90
0.66
Key passes per 90
1.29
Average shot distance
15.9m
From set pieces
22%
How the chances arrive
Crosses
6%
Through balls
31%
Own dribble
0%
Headed
69%
Club role
Chelsea
What they are for
On the pitch79% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Marc Cucurella’soutput.
Chances received
who supplies them
Romeo Lavia0.4 xG1 shot, 0g
Jamie Bynoe-Gittens0.1 xG2 shots, 0g
Malo Gusto0.1 xG1 shot, 0g
Moisés Caicedo0.1 xG2 shots, 0g
Wesley Fofana0.1 xG1 shot, 0g
Chances created
who they supply
João Pedro1.3 xG6 shots, 2g
Estêvão0.8 xG3 shots, 1g
Alejandro Garnacho0.7 xG8 shots, 0g
Cole Palmer0.6 xG2 shots, 1g
Andrey Santos0.4 xG2 shots, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Marc Cucurella carries 7.4%of Chelsea’s build-up value.
Build-up per 900.398
86% of midfielders
Possession value per 900.503
72% 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
34 appearances, oldest first
over 1.5
v Palace2 shots 0 on target
at Brentford1 shot 1 on target
at Man Utd1 shot 0 on target
v Brighton1 shot 0 on target
v Sunderland1 shot 0 on target
at Spurs1 shot 0 on target
v Wolves2 shots 0 on target
at Burnley2 shots 0 on target
at Bournemouth1 shot 0 on target
at Palace1 shot 1 on target
1g
v West Ham1 shot 1 on target
at Wolves1 shot 0 on target
at Everton1 shot 0 on target
v Man City2 shots 1 on target
v Forest1 shot 0 on target
at Liverpool1 shot 1 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.