2025/26 archive

Marc Cucurella Saseta

2025/26 season archive

Cucurella is not in a 2026/27 Premier League squad, so these figures are final rather than live. Browse 2026/27 players.

Chelsea

Pace

1.4

points per gameweek

Minutes

85%

reached 60' · 31 of 34 starts

Market

Buying

20,245 net transfers

How he ranks

34 games · 119 defenders

Points

42nd3.46

xGI

90th0.19

xGC

56th1.38

DefCon

25th6.1

BPS

69th15.6

Minutes

68th2706

DefCon is what drags him — 25th of 119, against 42nd for points.

Final price£6.1m

Form (10 GW)1.4

Pts / Match3.1

GW38 Pts1

Total Pts1043.5 per 90

Total Bonus50.2 per 90

ICT Index145.1

Selected by %14.6%

xGI5.60.2 per 90

G+A − xGI−0.6underperforming

On dutyDefCon bonus2/34 apps

Minutes and bonus

Started

31/34

91% of appearances

Reached 60'

85%

29 of 34 games

Bonus won

in 3 of 34 games

BPS per game

13.8

9% bonus strike rate

Where the points come from

Appearance6350%

Clean sheets3629%

Assists1210%

Goals65%

Bonus54%

DefCon43%

Goals conceded-11

Cards-11

50% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 126 earned, 104 net

Are the returns real?

His goals and assists are in line with the chances behind them — −0.6 against expectation over 2706 minutes.

Full seasons on record

2024/25 +1.8

2023/24 +0.8

2022/23 +0.7

2021/22 +2.0

Goals and assists minus xGI, per season. Positive means he finished above the chances he had.

Defensive Contribution

He averages 5.4 against a line of 10, so DefCon is not a realistic source of points for him.

Cleared

2/34

6% of games

Average

5.4

line is 10

Versus the line

-4.6

short on average

Action mix

30% tackles · 70% CBI

Against each level of opponent

He scores 2.5 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.

too few games(1)

4.17 per game(6)

3.16 per game(19)

1.63 per game(8)

1 is the easiest opponent, 5 the hardest. Bracketed figure is appearances at that level.

Gameweek log

	Opponent
1	CRY (H)	90	8	0	0	1	0	4	2	34	0.1	0.1	0.2	0.7	0	0	£6.0m
2	WHU (A)	68	5	0	1	0	1	5	0	25	0.0	0.3	0.3	0.3	0	0	£6.0m
3	FUL (H)	90	6	0	0	1	0	9	0	31	0.0	0.0	0.0	1.0	0	0	£6.1m
4	BRE (A)	45	1	0	0	0	1	5	0	6	0.1	0.0	0.1	0.9	0	0	£6.1m
5	MUN (A)	63	0	0	0	0	2	4	0	-6	0.1	0.0	0.1	1.4	1	0	£6.2m
6	BHA (H)	90	0	0	0	0	3	4	0	1	0.0	0.0	0.0	2.3	1	0	£6.2m
7	LIV (H)	90	7	0	1	0	1	9	2	33	0.0	0.6	0.6	1.9	0	0	£6.1m
8	NFO (A)	90	8	0	0	1	0	11	0	31	0.0	0.0	0.0	2.4	0	0	£6.1m
9	SUN (H)	90	1	0	0	0	2	4	0	12	0.1	0.2	0.3	1.3	0	0	£6.1m
10	TOT (A)	90	7	0	0	1	0	7	1	29	0.0	0.0	0.0	0.1	0	0	£6.1m
11	WOL (H)	90	6	0	0	1	0	6	0	28	0.1	0.1	0.1	0.2	0	0	£6.1m
12	BUR (A)	90	6	0	0	1	0	4	0	26	0.1	0.0	0.1	0.4	0	0	£6.1m
13	ARS (H)	90	1	0	0	0	1	8	0	1	0.0	0.2	0.2	1.3	1	0	£6.1m
14	LEE (A)	90	1	0	0	0	3	9	0	6	0.0	0.3	0.3	2.8	0	0	£6.2m
15	BOU (A)	90	6	0	0	1	0	3	0	25	0.1	0.0	0.1	1.4	0	0	£6.2m
16	EVE (H)	90	6	0	0	1	0	6	0	28	0.0	0.0	0.0	1.0	0	0	£6.2m
17	NEW (A)	90	1	0	0	0	2	5	0	7	0.0	0.0	0.0	2.3	0	0	£6.2m
18	AVL (H)	68	2	0	0	0	1	4	0	13	0.0	0.1	0.1	0.8	0	0	£6.2m
19	BOU (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£6.2m
20	MCI (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£6.1m
21	FUL (A)	21	-3	0	0	0	2	0	0	-14	0.0	0.0	0.0	0.2	0	1	£6.1m
22	BRE (H)	90	5	0	0	1	0	8	0	24	0.0	0.0	0.0	1.5	1	0	£6.0m
23	CRY (A)	90	4	0	0	0	1	11	0	14	0.1	0.2	0.4	1.8	0	0	£6.0m
24	WHU (H)	45	7	1	0	0	0	4	0	27	0.8	0.1	0.9	0.6	0	0	£6.0m
25	WOL (A)	90	4	0	1	0	1	9	0	23	0.1	0.3	0.5	1.1	1	0	£6.0m
26	LEE (H)	45	1	0	0	0	0	1	0	5	0.0	0.0	0.0	0.0	0	0	£6.1m
27	BUR (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£6.1m
28	ARS (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£6.0m
29	AVL (A)	11	1	0	0	0	0	1	0	7	0.0	0.1	0.1	0.3	0	0	£6.0m
30	NEW (H)	90	2	0	0	0	1	5	0	14	0.0	0.1	0.1	1.4	0	0	£6.0m
31	EVE (A)	90	1	0	0	0	3	5	0	1	0.1	0.0	0.1	1.2	0	0	£6.0m
32	MCI (H)	90	0	0	0	0	3	7	0	-1	0.5	0.0	0.6	2.3	1	0	£6.0m
33	MUN (H)	90	2	0	0	0	1	7	0	14	0.0	0.1	0.1	0.3	0	0	£6.0m
33	BHA (A)	90	1	0	0	0	3	6	0	0	0.0	0.0	0.0	2.1	0	0	£6.0m
35	NFO (H)	90	4	0	1	0	3	3	0	17	0.1	0.1	0.2	2.0	0	0	£6.1m
36	LIV (A)	90	1	0	0	0	1	1	0	2	0.0	0.0	0.1	0.6	1	0	£6.1m
37	TOT (H)	90	1	0	0	0	1	5	0	6	0.0	0.0	0.0	1.7	1	0	£6.1m
38	SUN (A)	90	1	0	0	0	2	2	0	-1	0.0	0.0	0.0	1.8	0	0	£6.1m

What the model expects

From the same expected-points model that runs across the whole player pool — an estimate per gameweek, not a prediction of any single one.

Expected per GW

3.4

points, average

Direction

+2.37

conditions improving

Sample

gameweeks behind it

Direction = last five gameweeks vs the five before. The model is injury-blind.

Points by gameweek · with model expectation

Points scoredModel expectation, set before kick-off

GW8–38: model expected 102 pts · he scored 77 (−25 vs expectation)

Market

Price History

Selected by %

14.6%

Net transfers, latest GW

+20245

Marc Cucurella Saseta

How he ranks?

Minutes and bonus?

Where the points come from?

Are the returns real??

Defensive Contribution?

Against each level of opponent?

Gameweek log

What the model expects

Points by gameweek · with model expectation?

Market

Price History?

How he ranks

Minutes and bonus

Where the points come from

Are the returns real?

Defensive Contribution

Against each level of opponent

Points by gameweek · with model expectation

Price History