2025/26 archive

Konstantinos Mavropanos

2025/26 season archive

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

West Ham

Pace

6.1

points per gameweek

Minutes

87%

reached 60' · 27 of 31 starts

Market

Buying

88,926 net transfers

How he ranks

31 games · 119 defenders

Points

71st4.34

xGI

49th0.11

xGC

39th1.46

DefCon

97th11.1

BPS

46th13.7

Minutes

61st2532

Final price£4.5m

Form (10 GW)6.1

Pts / Match3.9

GW38 Pts8

Total Pts1224.3 per 90

Total Bonus50.2 per 90

ICT Index113.8

Selected by %2.6%

xGI3.20.1 per 90

G+A − xGI−0.2underperforming

On dutyDefCon bonus18/31 apps

Minutes and bonus

Started

27/31

87% of appearances

Reached 60'

87%

27 of 31 games

Bonus won

in 2 of 31 games

BPS per game

12.5

6% bonus strike rate

He is a different player by venue. 4.87 per game at home (15), 3.06 away (16).

Where the points come from

Appearance5841%

DefCon3626%

Clean sheets2417%

Goals1813%

Bonus54%

Goals conceded-13

Own goals-4

Cards-2

41% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 141 earned, 122 net

Are the returns real?

His goals and assists are in line with the chances behind them — −0.2 against expectation over 2532 minutes.

Full seasons on record

2024/25 −2.0

2023/24 −0.3

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

Defensive Contribution

He averages 10.1 against a line of 10 — clearing it is his normal week.

Cleared

18/31

58% of games

Average

10.1

line is 10

Versus the line

+0.1

clear on average

Action mix

13% tackles · 87% CBI

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(1)

4.75 per game(4)

2.73 per game(15)

4.11 per game(9)

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	£4.5m
2	CHE (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.5m
3	NFO (A)	90	6	0	1	0	6	0	24	0.1	0.0	0.1	0.7	0	£4.4m
4	TOT (H)	90	3	0	0	3	11	0	2	0.0	0.0	0.0	1.3	0	£4.4m
5	CRY (H)	90	3	0	0	2	11	0	11	0.2	0.0	0.2	2.3	0	£4.4m
6	EVE (A)	90	1	0	0	1	7	0	6	0.1	0.0	0.1	0.7	1	£4.4m
7	ARS (A)	90	3	0	0	2	20	0	9	0.0	0.0	0.0	2.8	0	£4.4m
8	BRE (H)	45	1	0	0	1	4	0	2	0.0	0.0	0.0	0.5	0	£4.4m
9	LEE (A)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
10	NEW (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
11	BUR (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
12	BOU (A)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
13	LIV (H)	90	3	0	0	2	10	0	12	0.0	0.0	0.0	1.2	0	£4.4m
14	MUN (A)	90	4	0	0	1	11	0	10	0.0	0.0	0.0	1.6	0	£4.4m
15	BHA (A)	90	4	0	0	1	14	0	9	0.3	0.2	0.5	1.9	0	£4.4m
16	AVL (H)	90	1	0	0	3	10	0	4	0.0	0.0	0.0	0.7	0	£4.4m
17	MCI (A)	11	1	0	0	0	1	0	4	0.0	0.0	0.0	0.5	0	£4.4m
18	FUL (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
19	BHA (H)	45	1	0	0	1	6	0	2	0.0	0.0	0.0	1.1	0	£4.4m
20	WOL (A)	90	1	0	0	3	6	0	3	0.1	0.0	0.1	1.9	0	£4.4m
21	NFO (H)	90	2	0	0	2	12	0	5	0.0	0.0	0.0	1.4	1	£4.4m
22	TOT (A)	90	4	0	0	1	16	0	13	0.2	0.0	0.2	1.4	0	£4.4m
23	SUN (H)	90	2	0	0	1	6	0	3	0.1	0.0	0.1	0.7	0	£4.4m
24	CHE (A)	90	3	0	0	3	12	0	2	0.0	0.0	0.0	2.7	0	£4.4m
25	BUR (A)	90	8	0	1	0	15	0	30	0.0	0.0	0.0	1.3	0	£4.4m
26	MUN (H)	90	2	0	0	1	5	0	7	0.0	0.0	0.0	0.6	0	£4.4m
27	BOU (H)	90	6	0	1	0	8	0	23	0.0	0.0	0.0	0.7	0	£4.4m
28	LIV (A)	90	2	0	0	5	11	0	-2	0.4	0.0	0.4	1.8	0	£4.4m
29	FUL (A)	1	1	0	0	0	1	0	3	0.0	0.0	0.0	0.0	0	£4.4m
30	MCI (H)	90	12	1	0	1	21	2	29	0.5	0.0	0.5	2.0	0	£4.4m
31	AVL (A)	90	3	0	0	2	15	0	25	0.0	0.2	0.2	1.7	0	£4.4m
32	WOL (H)	90	21	2	1	0	9	3	59	0.3	0.1	0.4	0.6	0	£4.4m
33	CRY (A)	90	6	0	1	0	8	0	26	0.1	0.0	0.1	0.7	0	£4.4m
34	EVE (H)	90	4	0	0	1	11	0	12	0.0	0.0	0.0	1.4	0	£4.5m
35	BRE (A)	90	-1	0	0	3	7	0	-7	0.0	0.0	0.0	2.3	0	£4.5m
36	ARS (H)	90	4	0	0	1	13	0	26	0.0	0.0	0.1	1.2	0	£4.5m
37	NEW (A)	90	3	0	0	3	14	0	10	0.0	0.1	0.1	1.7	0	£4.5m
38	LEE (H)	90	8	0	1	0	12	0	24	0.0	0.0	0.0	1.6	0	£4.5m

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

2.9

points, average

Direction

+0.27

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 85 pts · he scored 99 (+14 vs expectation)

Market

Price History

Selected by %

2.6%

Net transfers, latest GW

+88926

Konstantinos Mavropanos

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