2025/26 archive

Maximilian Kilman

2025/26 season archive

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

West Ham

Pace

0.0

points per gameweek

Minutes

81%

reached 60' · 17 of 21 starts

Market

Selling

1 net transfers

How he ranks

21 games · 119 defenders

Points

4th2.08

xGI

8th0.05

xGC

4th1.92

DefCon

79th9.2

BPS

0th4.6

Minutes

25th1559

Final price£4.0m

Form (10 GW)0.0

Pts / Match1.7

GW38 Pts0

Total Pts362.1 per 90

Total Bonus00.0 per 90

ICT Index50.9

Selected by %0.1%

xGI0.80.0 per 90

G+A − xGI−0.8underperforming

On dutyDefCon bonus6/21 apps

Minutes and bonus

Started

17/21

81% of appearances

Reached 60'

81%

17 of 21 games

Bonus won

in 0 of 21 games

BPS per game

3.8

0% bonus strike rate

Where the points come from

Appearance3870%

DefCon1222%

Clean sheets47%

Goals conceded-14

Cards-4

70% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 54 earned, 36 net

Are the returns real?

His goals and assists are in line with the chances behind them — −0.8 against expectation over 1559 minutes.

Full seasons on record

2024/25 −1.7

2023/24 −0.9

2022/23 −0.8

2021/22 +2.0

2020/21 +1.0

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

Defensive Contribution

He averages 7.6 against a line of 10 — close enough that a busy game gets him there, but not reliably.

Cleared

6/21

29% of games

Average

7.6

line is 10

Versus the line

-2.4

short on average

Action mix

10% tackles · 90% CBI

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(1)

2 per game(3)

1.83 per game(12)

1.67 per game(3)

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)	90	0	0	3	9	4	0.0	0.0	0.0	0.7	1	£4.5m
2	CHE (H)	90	0	0	5	5	-18	0.2	0.0	0.2	2.7	0	£4.5m
3	NFO (A)	90	6	1	0	8	29	0.0	0.0	0.0	0.7	0	£4.4m
4	TOT (H)	90	1	0	3	9	-3	0.2	0.0	0.2	1.3	0	£4.4m
5	CRY (H)	90	2	0	2	11	8	0.0	0.0	0.0	2.3	1	£4.4m
6	EVE (A)	90	3	0	1	13	8	0.0	0.1	0.1	0.7	1	£4.4m
7	ARS (A)	90	1	0	2	9	2	0.0	0.0	0.0	2.8	0	£4.4m
8	BRE (H)	90	3	0	2	14	9	0.0	0.0	0.0	2.3	0	£4.4m
9	LEE (A)	90	1	0	2	5	4	0.0	0.0	0.0	1.5	0	£4.4m
10	NEW (H)	90	2	0	1	8	10	0.1	0.0	0.1	0.5	0	£4.3m
11	BUR (H)	90	1	0	2	7	5	0.1	0.0	0.1	1.1	0	£4.3m
12	BOU (A)	90	3	0	2	11	1	0.0	0.0	0.0	4.0	0	£4.3m
13	LIV (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.3m
14	MUN (A)	3	1	0	0	0	3	0.0	0.0	0.0	0.4	0	£4.3m
15	BHA (A)	90	4	0	1	11	6	0.0	0.0	0.0	1.9	0	£4.2m
16	AVL (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
17	MCI (A)	90	1	0	3	8	-1	0.0	0.0	0.0	2.1	0	£4.2m
18	FUL (H)	90	4	0	1	12	8	0.0	0.0	0.0	1.6	0	£4.2m
19	BHA (H)	90	0	0	2	8	0	0.0	0.0	0.0	2.9	1	£4.2m
20	WOL (A)	90	1	0	3	7	2	0.0	0.0	0.0	1.9	0	£4.2m
21	NFO (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
22	TOT (A)	1	1	0	0	0	3	0.0	0.0	0.0	0.0	0	£4.2m
23	SUN (H)	1	1	0	0	0	3	0.0	0.0	0.0	0.0	0	£4.2m
24	CHE (A)	24	0	0	2	5	-3	0.0	0.0	0.0	1.8	0	£4.2m
25	BUR (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
26	MUN (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
27	BOU (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
28	LIV (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.2m
29	FUL (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
30	MCI (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
31	AVL (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
32	WOL (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
33	CRY (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
34	EVE (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
35	BRE (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
36	ARS (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
37	NEW (A)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.1m
38	LEE (H)	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.0m

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

2.1

points, average

Direction

+0.69

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

GW8–24: model expected 35 pts · he scored 23 (−12 vs expectation)

Market

Price History

Selected by %

0.1%

Net transfers, latest GW

−1

Maximilian Kilman

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