2025/26 archive

Lesley Ugochukwu

2025/26 season archive

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

Burnley

Pace

1.8

points per gameweek

Minutes

74%

reached 60' · 27 of 35 starts

Market

Buying

973 net transfers

How he ranks

35 games · 141 midfielders

Points

26th3.75

xGI

11th0.11

DefCon

51st8.3

BPS

12th14.4

Minutes

68th2330

Final price£5.0m

Form (10 GW)1.8

Pts / Match2.8

GW38 Pts2

Total Pts973.7 per 90

Total Bonus50.2 per 90

ICT Index80.2

Selected by %0.1%

xGI2.90.1 per 90

G+A − xGI+3.1overperforming

On dutyDefCon bonus4/35 apps

Minutes and bonus

Started

27/35

77% of appearances

Reached 60'

74%

26 of 35 games

Bonus won

in 3 of 35 games

BPS per game

10.7

9% bonus strike rate

Where the points come from

Appearance6160%

Goals1515%

Assists99%

DefCon88%

Bonus55%

Clean sheets33%

Cards-4

60% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 101 earned, 97 net

Are the returns real?

He is beating his expected numbers by +3.1 over 2330 minutes.

His record does not repeat it — across 1 full season he has finished above expectation every time.

Full seasons on record

2024/25 +0.5

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

Defensive Contribution

He averages 6.1 against a line of 12, so DefCon is not a realistic source of points for him.

Cleared

4/35

11% of games

Average

6.1

line is 12

Versus the line

-5.9

short on average

Action mix

24% tackles · 29% CBI · 47% recoveries

Against each level of opponent

He scores 2.7 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.

too few games(1)

5.2 per game(5)

2.42 per game(19)

2.5 per game(8)

too few games(2)

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

Gameweek log

	Opponent
1	TOT (A)	27	1	0	0	0	1	1	0	1	0.1	0.0	0.1	0.9	0	0	£5.0m
2	SUN (H)	68	3	0	0	1	0	4	0	11	0.0	0.0	0.0	0.6	0	0	£5.0m
3	MUN (A)	75	2	0	0	0	2	10	0	8	0.0	0.0	0.0	2.5	0	0	£5.0m
4	LIV (H)	83	-1	0	0	0	1	9	0	0	0.0	0.0	0.0	1.4	0	1	£5.0m
5	NFO (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£5.0m
6	MCI (A)	11	1	0	0	0	2	0	0	4	0.0	0.0	0.0	0.8	0	0	£5.0m
7	AVL (A)	21	7	1	0	0	0	3	1	26	0.2	0.0	0.2	0.3	0	0	£5.0m
8	LEE (H)	82	10	1	0	1	0	6	2	32	0.4	0.0	0.4	2.3	0	0	£5.0m
9	WOL (A)	90	2	0	0	0	2	11	0	10	0.1	0.0	0.1	2.5	0	0	£5.0m
10	ARS (H)	61	2	0	0	0	2	3	0	5	0.0	0.0	0.0	2.3	0	0	£5.0m
11	WHU (A)	70	5	0	1	0	1	2	0	16	0.1	0.0	0.2	1.3	0	0	£5.0m
12	CHE (H)	71	2	0	0	0	1	3	0	4	0.0	0.0	0.0	0.8	0	0	£5.0m
13	BRE (A)	30	1	0	0	0	3	4	0	6	0.0	0.0	0.0	1.7	0	0	£5.0m
14	CRY (H)	19	1	0	0	0	0	1	0	5	0.0	0.0	0.0	0.0	0	0	£5.0m
15	NEW (A)	90	2	0	0	0	2	9	0	5	0.0	0.0	0.0	1.8	0	0	£5.0m
16	FUL (H)	82	9	1	0	0	3	6	2	36	1.0	0.0	1.1	2.2	0	0	£5.0m
17	BOU (A)	81	2	0	0	0	1	9	0	10	0.0	0.0	0.0	1.1	0	0	£5.0m
18	EVE (H)	90	3	0	0	1	0	11	0	11	0.1	0.0	0.1	0.8	0	0	£5.0m
19	NEW (H)	87	4	0	0	0	2	12	0	18	0.0	0.0	0.0	2.3	0	0	£5.0m
20	BHA (A)	54	1	0	0	0	2	6	0	0	0.0	0.0	0.0	1.3	0	0	£5.0m
21	MUN (H)	90	4	0	0	0	2	17	0	9	0.0	0.0	0.0	2.5	0	0	£5.0m
22	LIV (A)	84	4	0	0	0	1	12	0	10	0.0	0.0	0.0	3.2	0	0	£5.0m
23	TOT (H)	90	2	0	0	0	2	10	0	16	0.0	0.0	0.0	2.0	0	0	£5.0m
24	SUN (A)	90	1	0	0	0	3	7	0	10	0.0	0.0	0.0	1.5	1	0	£5.0m
25	WHU (H)	78	2	0	0	0	2	4	0	11	0.0	0.0	0.1	1.0	0	0	£5.0m
26	CRY (A)	86	7	0	1	0	2	12	0	20	0.0	0.0	0.0	1.5	0	0	£5.0m
27	CHE (A)	56	1	0	0	0	1	3	0	6	0.0	0.0	0.0	1.6	0	0	£5.0m
28	BRE (H)	45	1	0	0	0	1	2	0	2	0.1	0.0	0.1	0.5	0	0	£5.0m
29	EVE (A)	82	2	0	0	0	2	5	0	13	0.0	0.0	0.0	1.3	0	0	£5.0m
30	BOU (H)	2	1	0	0	0	0	1	0	3	0.0	0.0	0.0	0.9	0	0	£5.0m
31	FUL (A)	72	2	0	0	0	3	3	0	6	0.0	0.0	0.0	3.1	0	0	£5.0m
32	BHA (H)	66	2	0	0	0	1	2	0	5	0.1	0.0	0.1	1.8	0	0	£5.0m
33	NFO (A)	75	2	0	0	0	2	4	0	6	0.0	0.0	0.0	0.9	0	0	£5.0m
33	MCI (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£5.0m
35	LEE (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	0	£5.0m
36	AVL (H)	78	5	0	1	0	2	9	0	24	0.0	0.1	0.1	1.3	0	0	£5.0m
37	ARS (A)	70	2	0	0	0	1	8	0	9	0.0	0.0	0.0	1.3	0	0	£5.0m
38	WOL (H)	74	2	0	0	0	1	5	0	16	0.2	0.1	0.2	1.6	0	0	£5.0m

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

2.5

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

GW10–38: model expected 71 pts · he scored 72 (+1 vs expectation)

Market

Price History

Selected by %

0.1%

Net transfers, latest GW

+973

Lesley Ugochukwu

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