2025/26 archive

Santiago Ignacio Bueno

2025/26 season archive

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

Wolves

Pace

2.8

points per gameweek

Minutes

97%

reached 60' · 28 of 29 starts

Market

Buying

7,452 net transfers

How he ranks

29 games · 119 defenders

Points

28th3.24

xGI

68th0.13

xGC

23rd1.54

DefCon

53rd7.6

BPS

21st10.9

Minutes

63rd2552

Final price£4.4m

Form (10 GW)2.8

Pts / Match3.2

GW38 Pts2

Total Pts923.2 per 90

Total Bonus40.1 per 90

ICT Index100.0

Selected by %0.2%

xGI3.70.1 per 90

G+A − xGI+1.3overperforming

On dutyDefCon bonus5/29 apps

Minutes and bonus

Started

28/29

97% of appearances

Reached 60'

97%

28 of 29 games

Bonus won

in 2 of 29 games

BPS per game

10.7

7% bonus strike rate

Where the points come from

Appearance5751%

Goals1816%

Clean sheets1614%

DefCon109%

Assists65%

Bonus44%

Goals conceded-15

Cards-4

51% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 111 earned, 92 net

Are the returns real?

His goals and assists are in line with the chances behind them — +1.3 against expectation over 2552 minutes.

Full seasons on record

2024/25 −0.6

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

Defensive Contribution

He averages 7.4 against a line of 10 — close enough that a busy game gets him there, but not reliably.

Cleared

5/29

17% of games

Average

7.4

line is 10

Versus the line

-2.6

short on average

Action mix

24% tackles · 76% CBI

Against each level of opponent

He scores 2.4 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.

too few games(1)

5 per game(4)

3 per game(18)

2.6 per game(5)

too few games(1)

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

Gameweek log

	Opponent
1	MCI (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.5m
2	BOU (A)	34	1	0	0	0	0	4	0	6	0.0	0.0	0.0	0.5	0	£4.5m
3	EVE (H)	90	3	0	0	0	3	10	0	4	0.0	0.1	0.1	1.9	0	£4.5m
4	NEW (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.5m
5	LEE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
6	TOT (A)	90	12	1	0	0	1	15	2	32	0.8	0.0	0.8	0.9	0	£4.4m
7	BHA (H)	90	1	0	0	0	1	6	0	4	0.0	0.0	0.0	1.1	1	£4.4m
8	SUN (A)	90	1	0	0	0	2	8	0	9	0.0	0.4	0.4	0.7	0	£4.4m
9	BUR (H)	90	4	0	1	0	3	9	0	15	0.1	0.0	0.1	1.4	0	£4.4m
10	FUL (A)	90	2	0	0	0	3	11	0	4	0.0	0.0	0.0	1.4	1	£4.4m
11	CHE (A)	90	1	0	0	0	3	6	0	3	0.0	0.0	0.0	3.3	0	£4.4m
12	CRY (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
13	AVL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
14	NFO (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
15	MUN (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
16	ARS (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
17	BRE (H)	90	3	0	0	0	2	13	0	9	0.0	0.0	0.0	1.3	0	£4.4m
18	LIV (A)	90	7	1	0	0	2	3	0	12	0.8	0.0	0.8	1.5	0	£4.4m
19	MUN (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£4.4m
20	WHU (H)	90	6	0	0	1	0	6	0	21	0.0	0.0	0.0	0.3	0	£4.4m
21	EVE (A)	90	2	0	0	0	1	7	0	13	0.0	0.0	0.0	0.9	0	£4.4m
22	NEW (H)	90	6	0	0	1	0	4	0	19	0.0	0.0	0.0	0.9	0	£4.4m
23	MCI (A)	90	1	0	0	0	2	6	0	5	0.0	0.0	0.0	0.9	0	£4.4m
24	BOU (H)	88	2	0	0	0	1	5	0	9	0.1	0.0	0.1	0.6	0	£4.4m
25	CHE (H)	90	1	0	0	0	3	6	0	1	0.0	0.4	0.4	3.4	0	£4.4m
26	NFO (A)	90	6	0	0	1	0	5	0	21	0.0	0.1	0.1	2.5	0	£4.4m
26	ARS (H)	90	3	0	1	0	2	5	0	15	0.0	0.0	0.0	1.9	1	£4.4m
27	CRY (A)	90	2	0	0	0	1	8	0	13	0.0	0.0	0.0	2.0	0	£4.4m
28	AVL (H)	90	6	0	0	1	0	9	0	24	0.0	0.0	0.0	1.0	0	£4.4m
29	LIV (H)	90	1	0	0	0	1	7	0	16	0.0	0.0	0.0	1.8	1	£4.4m
30	BRE (A)	90	1	0	0	0	2	7	0	9	0.0	0.0	0.0	2.6	0	£4.4m
32	WHU (A)	90	0	0	0	0	4	8	0	-3	0.0	0.0	0.0	2.4	0	£4.4m
33	LEE (A)	90	3	0	0	0	3	11	0	3	0.0	0.0	0.0	2.8	0	£4.4m
34	TOT (H)	90	2	0	0	0	1	8	0	17	0.1	0.0	0.1	0.9	0	£4.4m
35	SUN (H)	90	10	1	0	0	1	6	2	26	0.2	0.4	0.6	0.7	0	£4.4m
36	BHA (A)	90	1	0	0	0	3	6	0	-5	0.0	0.0	0.0	1.6	0	£4.4m
37	FUL (H)	90	2	0	0	0	1	9	0	5	0.0	0.0	0.0	1.6	0	£4.4m
38	BUR (A)	90	2	0	0	0	1	8	0	3	0.3	0.0	0.3	1.0	0	£4.4m

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

+0.36

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 70 pts · he scored 65 (−5 vs expectation)

Market

Price History

Selected by %

0.2%

Net transfers, latest GW

+7452

Santiago Ignacio Bueno

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