+2.15goals above what the league converts the same chances into
Build-up per 90
0.369% of Chelsea’s build-up value
league 0.27
Marc Cucurella ranks 222nd of 397 qualified players for attacking involvement, shooting from 16.8m on average, with 24% of their danger coming from set pieces. They carry 3% of Chelsea’s attacking involvement, the 9th largest share in the squad.
Against their position
123 defenders
Shooting
per 90
Goals
0.1596th
Non-penalty goals
0.1596th
xG
0.0988th
Non-penalty xG
0.0988th
Shots
0.7276th
npxG per shot
0.1379th
Shot distance
16.8m38th
Set-piece share
24%20th
Goals against xG
+1.899th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.0358th
Expected assists
0.0566th
Key passes
0.5771st
npxG + xA
0.1578th
xG chain
0.4678th
xG build-up
0.3670th
Assists against xA
-0.818th
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
8season count
Red cards
1season 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 8
Next fixture
Gameweek 8
vsTottenham
Sat 24 Oct, 16:30 UTC
Tottenham concede 13.8 shots a match and are 1.27× the league norm against defenders. A favourable draw.
Projected shots
0.84
0.72 per 90 × 1.17
Projected on target
0.35
0.33 per 90 × 1.07
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
36 appearances
Over 0.517 of 3647%± 8
Over 1.55 of 3614%± 6
Over 2.52 of 366%± 4
Over 3.50 of 360%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 19 of 36.
When it mattered4 of 5 goals came with the game level or Chelsea behind.
On the pitch88% 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
Kiernan Dewsbury-Hall0.6 xG1 shot, 1g
Tyrique George0.5 xG2 shots, 1g
Reece James0.4 xG2 shots, 1g
Noni Madueke0.3 xG1 shot, 1g
Enzo Fernández0.3 xG3 shots, 1g
Chances created
who they supply
Noni Madueke0.7 xG5 shots, 0g
Pedro Neto0.3 xG2 shots, 0g
Nicolas Jackson0.3 xG3 shots, 0g
Jadon Sancho0.2 xG3 shots, 1g
Enzo Fernández0.2 xG4 shots, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Marc Cucurella carries 9.1%of Chelsea’s build-up value.
Build-up per 900.362
70% of defenders
Possession value per 900.464
77% 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
36 appearances, oldest first
over 1.5
at Man Utd1 shot 0 on target
at Spurs1 shot 0 on target
1g
v Brentford1 shot 1 on target
v Fulham2 shots 1 on target
at Ipswich1 shot 0 on target
v Bournemouth3 shots 0 on target
1g
v Wolves1 shot 1 on target
at Man City1 shot 0 on target
v West Ham1 shot 0 on target
1g
v Southampton1 shot 1 on target
1g
v Leicester2 shots 1 on target
at Arsenal2 shots 2 on target
v Ipswich1 shot 0 on target
at Fulham1 shot 0 on target
v Everton3 shots 2 on target
at Newcastle1 shot 1 on target
1g
v Man Utd1 shot 1 on target
19 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 19 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.
