2025/26 archive

Raúl Jiménez Rodríguez

Penalties #1 · Free kicks #2

2025/26 season archive

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

Fulham

Pace

1.6

points per gameweek

Minutes

64%

reached 60' · 27 of 36 starts

Market

Selling

14,988 net transfers

How he ranks

36 games · 32 forwards

Points

39th4.62

xGI

55th0.51

DefCon

77th5.4

BPS

45th16.9

Minutes

61st2183

Final price£5.9m

Form (10 GW)1.6

Pts / Match3.1

GW38 Pts1

Total Pts1124.6 per 90

Total Bonus70.3 per 90

ICT Index153.1

Selected by %1.8%

xGI12.50.5 per 90

G+A − xGI+1.5overperforming

On dutyPenalties#1Free kicks#2DefCon bonus0/36 apps

Minutes and bonus

Started

27/36

75% of appearances

Reached 60'

64%

23 of 36 games

Bonus won

in 4 of 36 games

BPS per game

11.4

11% bonus strike rate

Where the points come from

Appearance5950%

Goals3631%

Assists1513%

Bonus76%

Cards-5

50% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 117 earned, 112 net

Are the returns real?

His goals and assists are in line with the chances behind them — +1.5 against expectation over 2183 minutes.

Full seasons on record

2024/25 +1.0

2023/24 +0.7

2021/22 +11.0

2019/20 +24.0

2018/19 +23.0

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

Defensive Contribution

He averages 3.7 against a line of 12, so DefCon is not a realistic source of points for him.

Cleared

0/36

0% of games

Average

3.7

line is 12

Versus the line

-8.3

short on average

Action mix

27% tackles · 32% CBI · 42% recoveries

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(2)

2.2 per game(5)

3.44 per game(18)

2.89 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	BHA (A)	65	2	0	0	0	1	0	0	0	0.3	0.0	0.3	1.1	0	£6.5m
2	MUN (H)	19	1	0	0	0	0	2	0	0	0.0	0.0	0.0	0.1	0	£6.5m
3	CHE (A)	31	1	0	0	0	0	2	0	-2	0.1	0.0	0.1	0.2	0	£6.4m
4	LEE (H)	6	1	0	0	0	0	2	0	4	0.0	0.0	0.0	0.0	0	£6.4m
5	BRE (H)	10	1	0	0	0	0	1	0	2	0.0	0.0	0.0	0.1	0	£6.3m
6	AVL (A)	10	6	1	0	0	0	0	1	29	0.1	0.0	0.1	0.0	0	£6.3m
7	BOU (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£6.3m
8	ARS (H)	90	2	0	0	0	1	6	0	9	0.1	0.0	0.1	1.9	0	£6.2m
9	NEW (A)	90	5	0	1	0	2	5	0	15	0.7	0.0	0.7	2.1	0	£6.2m
10	WOL (H)	71	5	0	1	1	0	5	0	22	0.0	0.2	0.2	0.2	0	£6.2m
11	EVE (A)	57	1	0	0	0	1	4	0	5	0.2	0.0	0.2	0.9	0	£6.2m
12	SUN (H)	90	6	1	0	1	0	4	1	29	1.0	0.0	1.0	0.2	1	£6.2m
13	TOT (A)	90	1	0	0	0	1	7	0	10	0.0	0.0	0.0	0.9	1	£6.2m
14	MCI (H)	73	2	0	0	0	5	4	0	6	0.2	0.0	0.2	2.2	0	£6.2m
15	CRY (H)	90	5	0	1	0	2	5	0	11	0.1	0.1	0.2	1.6	0	£6.2m
16	BUR (A)	78	2	0	0	0	1	3	0	3	0.0	0.0	0.0	1.9	0	£6.3m
17	NFO (H)	84	5	1	0	1	0	5	0	18	1.3	0.0	1.3	0.6	1	£6.3m
18	WHU (A)	90	9	1	0	1	0	5	3	38	0.9	0.0	0.9	0.9	0	£6.3m
19	CRY (A)	90	2	0	0	0	1	2	0	5	0.4	0.1	0.4	1.6	0	£6.3m
20	LIV (H)	84	5	0	1	0	1	5	0	15	0.2	0.0	0.2	1.0	0	£6.2m
21	CHE (H)	90	5	1	0	0	1	7	0	29	0.3	0.2	0.6	2.4	1	£6.2m
22	LEE (A)	87	2	0	0	1	0	5	0	6	0.1	0.0	0.1	1.1	0	£6.2m
23	BHA (H)	90	2	0	0	0	1	7	0	8	0.4	0.0	0.5	1.6	0	£6.2m
24	MUN (A)	90	6	1	0	0	3	6	0	19	1.1	0.0	1.1	1.8	0	£6.2m
25	EVE (H)	74	5	0	1	1	0	6	0	16	0.6	0.0	0.6	1.6	0	£6.2m
26	MCI (A)	59	1	0	0	0	3	3	0	2	0.6	0.0	0.6	1.4	0	£6.2m
27	SUN (A)	64	11	2	0	1	0	4	2	45	1.0	0.1	1.1	0.6	1	£6.1m
28	TOT (H)	72	2	0	0	0	1	5	0	10	0.4	0.0	0.5	0.7	0	£6.1m
29	WHU (H)	59	1	0	0	0	0	4	0	7	0.2	0.0	0.2	0.9	0	£6.1m
30	NFO (A)	61	2	0	0	1	0	3	0	5	0.0	0.0	0.0	0.3	0	£6.2m
31	BUR (H)	8	5	1	0	0	0	3	0	18	0.9	0.0	0.9	0.1	0	£6.2m
32	LIV (A)	10	1	0	0	0	0	0	0	1	0.1	0.0	0.2	0.1	0	£6.2m
33	BRE (A)	23	1	0	0	0	0	3	0	5	0.0	0.0	0.0	0.8	0	£6.1m
34	AVL (H)	65	2	0	0	1	0	2	0	9	0.1	0.0	0.2	0.6	0	£6.1m
35	ARS (A)	72	2	0	0	0	3	5	0	6	0.1	0.0	0.1	2.9	0	£6.0m
36	BOU (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£6.0m
37	WOL (A)	23	1	0	0	0	0	1	0	3	0.1	0.0	0.1	0.7	0	£6.0m
38	NEW (H)	18	1	0	0	0	0	1	0	2	0.0	0.0	0.0	0.1	0	£5.9m

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

3.2

points, average

Direction

−0.71

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

GW11–38: model expected 80 pts · he scored 83 (+3 vs expectation)

Market

Price History

Selected by %

1.8%

Net transfers, latest GW

−14988

Raúl Jiménez Rodríguez

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