2025/26 archive

Bertrand Traoré

2025/26 season archive

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

Sunderland

Pace

0.1

points per gameweek

Minutes

58%

reached 60' · 9 of 12 starts

Market

Buying

48 net transfers

Final price£5.5m

Form (10 GW)0.1

Pts / Match2.5

GW38 Pts0

Total Pts304.3 per 90

Total Bonus10.1 per 90

ICT Index35.9

Selected by %0.0%

xGI0.70.1 per 90

G+A − xGI+1.3small sample

On dutyDefCon bonus0/12 apps

Minutes and bonus

Started

9/12

75% of appearances

Reached 60'

58%

7 of 12 games

Bonus won

in 1 of 12 games

BPS per game

9.8

8% bonus strike rate

He is a different player by venue. 3.6 per game at home (5), 1.71 away (7).

Where the points come from

Appearance1961%

Goals516%

Assists310%

Clean sheets310%

Bonus13%

Cards-1

61% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 31 earned, 30 net

Are the returns real?

Too few minutes this season to say whether his returns are backed by the chances — 634 played, and a gap needs about 900 before it means anything.

Across 1 full season on record he has finished above expectation every time.

Full seasons on record

2020/21 +14.0

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

Defensive Contribution

He averages 3.3 against a line of 12, so DefCon is not a realistic source of points for him.

Cleared

0/12

0% of games

Average

3.3

line is 12

Versus the line

-8.7

short on average

Action mix

28% tackles · 28% CBI · 45% recoveries

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(1)

2.71 per game(7)

2.33 per game(3)

too few games(1)

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

Gameweek log

	Opponent
4	CRY (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
5	AVL (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
6	NFO (A)	31	1	0	0	0	0	5	0	10	0.1	0.0	0.1	1.2	0	£5.5m
7	MUN (A)	57	0	0	0	0	2	1	0	5	0.2	0.0	0.2	1.4	1	£5.5m
8	WOL (H)	62	3	0	0	1	0	4	0	7	0.0	0.0	0.0	0.2	0	£5.5m
9	CHE (A)	64	5	0	1	0	1	4	0	23	0.1	0.1	0.2	0.7	0	£5.5m
10	EVE (H)	81	2	0	0	0	1	5	0	9	0.1	0.0	0.1	0.8	0	£5.5m
11	ARS (H)	63	2	0	0	0	1	3	0	6	0.0	0.0	0.0	1.2	0	£5.5m
12	FUL (A)	63	3	0	0	1	0	5	0	11	0.0	0.0	0.0	0.8	0	£5.5m
13	BOU (H)	62	8	1	0	0	2	8	1	31	0.1	0.1	0.1	1.5	0	£5.5m
14	LIV (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
15	MCI (A)	55	1	0	0	0	2	3	0	7	0.0	0.0	0.0	1.0	0	£5.5m
16	NEW (H)	69	3	0	0	1	0	2	0	5	0.0	0.0	0.0	0.1	0	£5.5m
17	BHA (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
18	LEE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
19	MCI (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
20	TOT (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
21	BRE (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
22	CRY (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
23	WHU (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
24	BUR (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
25	ARS (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
26	LIV (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
27	FUL (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
28	BOU (A)	21	1	0	0	0	0	0	0	1	0.0	0.0	0.0	0.6	0	£5.5m
29	LEE (A)	6	1	0	0	0	0	0	0	3	0.0	0.0	0.0	0.1	0	£5.5m
30	BHA (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
31	NEW (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
32	TOT (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
33	AVL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
34	NFO (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
35	WOL (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
36	MUN (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
37	EVE (A)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
38	CHE (H)	0	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m

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

2.0

points, average

Direction

−0.22

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

GW10–18: model expected 18 pts · he scored 19 (+1 vs expectation)

Market

Price History

Selected by %

0.0%

Net transfers, latest GW

+48

Bertrand Traoré

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?

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