2025/26 archive

Crysencio Summerville

Corners #2

2025/26 season archive

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

West Ham

Pace

2.9

points per gameweek

Minutes

90%

reached 60' · 29 of 31 starts

Market

Buying

48,617 net transfers

How he ranks

31 games · 141 midfielders

Points

39th4.01

xGI

64th0.32

DefCon

46th7.8

BPS

16th15

Minutes

74th2470

BPS is what drags him — 16th of 141, against 39th for points.

Final price£5.4m

Form (10 GW)2.9

Pts / Match3.5

GW38 Pts6

Total Pts1104.0 per 90

Total Bonus100.4 per 90

ICT Index145.0

Selected by %1.6%

xGI8.80.3 per 90

G+A − xGI+0.2overperforming

On dutyCorners#2DefCon bonus1/31 apps

Minutes and bonus

Started

29/31

94% of appearances

Reached 60'

90%

28 of 31 games

Bonus won

in 4 of 31 games

BPS per game

13.3

13% bonus strike rate

Where the points come from

Appearance5951%

Goals2522%

Assists1210%

Bonus109%

Clean sheets87%

DefCon22%

Cards-6

51% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 116 earned, 110 net

Are the returns real?

His goals and assists are in line with the chances behind them — +0.2 against expectation over 2470 minutes.

Full seasons on record

2022/23 +4.1

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

Defensive Contribution

He averages 6.9 against a line of 12, so DefCon is not a realistic source of points for him.

Cleared

1/31

3% of games

Average

6.9

line is 12

Versus the line

-5.1

short on average

Action mix

21% tackles · 23% CBI · 56% recoveries

Against each level of opponent

He scores 2.6 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.

too few games(2)

5.6 per game(5)

3.29 per game(17)

3 per game(5)

too few games(2)

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

Gameweek log

	Opponent
1	SUN (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
2	CHE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
3	NFO (A)	8	7	0	2	0	0	4	0	24	0.0	0.0	0.0	0.0	0	£5.5m
4	TOT (H)	60	2	0	0	0	2	5	0	11	0.0	0.0	0.0	0.6	0	£5.5m
5	CRY (H)	77	2	0	0	0	2	3	0	3	0.0	0.2	0.2	2.2	0	£5.5m
6	EVE (A)	76	2	0	0	0	1	9	0	13	0.4	0.1	0.5	0.6	0	£5.5m
7	ARS (A)	90	1	0	0	0	2	11	0	7	0.0	0.0	0.0	2.8	1	£5.5m
8	BRE (H)	90	1	0	0	0	2	4	0	6	0.1	0.0	0.1	2.3	1	£5.5m
9	LEE (A)	78	1	0	0	0	2	9	0	1	0.0	0.0	0.0	1.5	1	£5.5m
10	NEW (H)	78	2	0	0	0	1	10	0	15	0.2	0.0	0.2	0.4	0	£5.5m
11	BUR (H)	82	5	0	1	0	1	4	0	11	0.1	0.0	0.2	0.5	0	£5.5m
12	BOU (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
13	LIV (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
14	MUN (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
15	BHA (A)	71	3	0	0	1	0	4	0	0	0.4	0.0	0.4	0.8	0	£5.5m
16	AVL (H)	87	2	0	0	0	3	4	0	9	0.1	0.0	0.1	0.6	0	£5.5m
17	MCI (A)	78	2	0	0	0	3	7	0	6	0.1	0.0	0.1	1.6	0	£5.5m
18	FUL (H)	55	1	0	0	0	0	3	0	3	0.2	0.1	0.3	0.6	0	£5.5m
19	BHA (H)	27	1	0	0	0	0	2	0	6	0.1	0.0	0.2	0.5	0	£5.5m
20	WOL (A)	90	2	0	0	0	3	4	0	10	0.0	0.1	0.1	1.9	0	£5.5m
21	NFO (H)	90	4	0	0	0	2	13	0	14	0.0	0.1	0.1	1.4	0	£5.5m
22	TOT (A)	90	10	1	0	0	1	8	3	31	0.3	0.3	0.6	1.4	0	£5.5m
23	SUN (H)	90	8	1	0	0	1	5	1	30	0.1	0.0	0.2	0.7	0	£5.5m
24	CHE (A)	90	7	1	0	0	3	6	0	31	0.3	0.0	0.3	2.7	0	£5.5m
25	BUR (A)	90	11	1	0	1	0	11	3	36	0.7	0.0	0.8	1.3	0	£5.5m
26	MUN (H)	89	3	0	0	1	0	7	0	13	0.0	0.2	0.2	0.4	0	£5.6m
27	BOU (H)	90	3	0	0	1	0	10	0	13	0.7	0.3	1.1	0.7	0	£5.6m
28	LIV (A)	90	1	0	0	0	5	11	0	4	0.3	0.1	0.3	1.8	1	£5.7m
29	FUL (A)	90	11	1	0	1	0	9	3	40	0.1	0.4	0.5	0.9	0	£5.7m
30	MCI (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.7m
31	AVL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
32	WOL (H)	77	3	0	0	1	0	5	0	-3	0.4	0.0	0.4	0.5	0	£5.5m
33	CRY (A)	90	3	0	0	1	0	8	0	9	0.1	0.0	0.1	0.7	0	£5.5m
34	EVE (H)	90	2	0	0	0	1	9	0	12	0.1	0.8	0.8	1.4	0	£5.5m
35	BRE (A)	87	1	0	0	0	3	9	0	3	0.1	0.0	0.2	2.2	1	£5.5m
36	ARS (H)	90	1	0	0	0	1	6	0	6	0.1	0.0	0.1	1.2	1	£5.4m
37	NEW (A)	90	2	0	0	0	3	8	0	23	0.1	0.2	0.3	1.7	0	£5.4m
38	LEE (H)	90	6	0	1	1	0	7	0	25	0.0	0.3	0.4	1.6	0	£5.4m

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

2.6

points, average

Direction

−0.05

broadly steady

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 77 pts · he scored 94 (+17 vs expectation)

Market

Price History

Selected by %

1.6%

Net transfers, latest GW

+48617

Crysencio Summerville

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