2025/26 archive

James Ward-Prowse

Free kicks #1 · Corners #1

2025/26 season archive

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

Burnley

Pace

2.2

points per gameweek

Minutes

67%

reached 60' · 12 of 18 starts

Market

Buying

450 net transfers

How he ranks

18 games · 141 midfielders

Points

9th3.3

xGI

28th0.17

DefCon

58th9

BPS

83rd20.4

Minutes

4th1092

Points is what drags him — 9th of 141, against 9th for points.

Final price£5.6m

Form (10 GW)2.2

Pts / Match2.2

GW38 Pts1

Total Pts403.3 per 90

Total Bonus00.0 per 90

ICT Index62.1

Selected by %0.2%

xGI2.10.2 per 90

G+A − xGI−1.1underperforming

On dutyFree kicks#1Corners#1DefCon bonus3/18 apps

Minutes and bonus

Started

12/18

67% of appearances

Reached 60'

67%

12 of 18 games

Bonus won

in 0 of 18 games

BPS per game

13.8

0% bonus strike rate

Where the points come from

Appearance3073%

DefCon615%

Assists37%

Clean sheets25%

Cards-1

73% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 41 earned, 40 net

Are the returns real?

His goals and assists are in line with the chances behind them — −1.1 against expectation over 1092 minutes.

Full seasons on record

2024/25 −1.3

2023/24 +1.5

2022/23 +1.8

2021/22 +15.0

2020/21 +15.0

2019/20 +9.0

2018/19 +7.0

2017/18 +8.0

2016/17 +8.0

2015/16 +6.0

2014/15 +9.0

2013/14 +2.0

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

3/18

17% of games

Average

6.1

line is 12

Versus the line

-5.9

short on average

Action mix

15% tackles · 40% CBI · 45% recoveries

Gameweek log

	Opponent
1	SUN (A)	70	2	0	0	1	3	13	0.0	0.0	0.0	0.6	0	£6.0m
2	CHE (H)	90	2	0	0	5	6	23	0.1	0.3	0.4	2.7	0	£6.0m
3	NFO (A)	74	3	0	1	0	6	11	0.0	0.1	0.1	0.7	0	£5.9m
4	TOT (H)	90	2	0	0	3	3	20	0.0	0.2	0.2	0.9	0	£5.9m
5	CRY (H)	90	2	0	0	2	4	15	0.0	0.2	0.3	2.3	0	£5.9m
6	EVE (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.8m
7	ARS (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.8m
8	BRE (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.7m
9	LEE (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.7m
10	NEW (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.7m
11	BUR (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.7m
12	BOU (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
13	LIV (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
14	MUN (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
15	BHA (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
16	AVL (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
17	MCI (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
18	FUL (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
19	BHA (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
20	WOL (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
21	NFO (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
22	TOT (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
23	SUN (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
24	SUN (A)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
25	WHU (H)	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.6m
26	CRY (A)	7	1	0	0	0	1	5	0.0	0.0	0.0	0.3	0	£5.6m
27	CHE (A)	33	4	1	0	0	3	18	0.0	0.1	0.1	0.4	0	£5.6m
28	BRE (H)	74	2	0	0	3	7	16	0.0	0.1	0.1	1.9	0	£5.6m
29	EVE (A)	33	1	0	0	1	4	8	0.0	0.0	0.0	0.5	0	£5.6m
30	BOU (H)	90	5	0	1	0	14	25	0.0	0.1	0.1	2.5	0	£5.6m
31	FUL (A)	77	1	0	0	2	7	8	0.0	0.0	0.0	1.9	1	£5.6m
32	BHA (H)	90	4	0	0	2	15	21	0.0	0.4	0.4	1.9	0	£5.6m
33	NFO (A)	90	2	0	0	4	9	13	0.0	0.0	0.1	1.2	0	£5.6m
33	MCI (H)	90	4	0	0	1	19	20	0.0	0.0	0.1	3.5	0	£5.6m
35	LEE (A)	64	2	0	0	3	4	16	0.0	0.0	0.1	1.3	0	£5.6m
36	AVL (H)	3	1	0	0	0	0	3	0.0	0.0	0.0	0.1	0	£5.6m
37	ARS (A)	12	1	0	0	0	2	3	0.0	0.0	0.0	0.0	0	£5.6m
38	WOL (H)	15	1	0	0	0	2	10	0.0	0.2	0.2	0.5	0	£5.6m

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

+1.20

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 23 pts · he scored 16 (−7 vs expectation)

Market

Price History

Selected by %

0.2%

Net transfers, latest GW

+450

James Ward-Prowse

How he ranks?

Minutes and bonus?

Where the points come from?

Are the returns real??

Defensive Contribution?

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

Points by gameweek · with model expectation

Price History