2025/26 archive

André Trindade da Costa Neto

2025/26 season archive

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

Wolves

Pace

3.8

points per gameweek

Minutes

86%

reached 60' · 30 of 35 starts

Market

Buying

286 net transfers

How he ranks

35 games · 141 midfielders

Points

5th3.13

xGI

0th0.05

DefCon

97th12.5

BPS

21st15.4

Minutes

84th2760

Final price£5.2m

Form (10 GW)3.8

Pts / Match2.7

GW38 Pts4

Total Pts963.1 per 90

Total Bonus40.1 per 90

ICT Index78.9

Selected by %0.1%

xGI1.50.0 per 90

G+A − xGI−0.5underperforming

On dutyDefCon bonus16/35 apps

Minutes and bonus

Started

30/35

86% of appearances

Reached 60'

86%

30 of 35 games

Bonus won

in 2 of 35 games

BPS per game

13.5

6% bonus strike rate

Where the points come from

Appearance6560%

DefCon3230%

Goals55%

Bonus44%

Clean sheets22%

Cards-12

60% of his points earned came from appearance. That is a narrow base — if it stops, most of the return stops with it. 108 earned, 96 net

Are the returns real?

His goals and assists are in line with the chances behind them — −0.5 against expectation over 2760 minutes.

Full seasons on record

2024/25 −0.9

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

Defensive Contribution

He averages 10.9 against a line of 12, so he is about one action short in a typical week.

Cleared

16/35

46% of games

Average

10.9

line is 12

Versus the line

-1.1

short on average

Action mix

21% tackles · 23% CBI · 55% recoveries

Against each level of opponent

His return barely moves with the difficulty of the opponent.

too few games(1)

2.2 per game(5)

2.63 per game(19)

3.5 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	MCI (H)	71	4	0	0	3	15	0	16	0.0	0.0	0.0	2.2	0	£5.5m
2	BOU (A)	45	1	0	0	0	5	0	8	0.0	0.0	0.0	0.6	0	£5.5m
3	EVE (H)	63	2	0	0	3	9	0	10	0.0	0.0	0.0	1.8	0	£5.5m
4	NEW (A)	65	1	0	0	1	7	0	7	0.0	0.0	0.0	1.4	1	£5.5m
5	LEE (H)	18	1	0	0	0	3	0	9	0.0	0.0	0.0	0.0	0	£5.4m
6	TOT (A)	90	5	0	0	1	15	1	18	0.0	0.0	0.0	0.9	0	£5.4m
7	BHA (H)	90	3	0	0	1	14	0	9	0.0	0.0	0.0	1.1	1	£5.4m
8	SUN (A)	90	4	0	0	2	14	0	16	0.0	0.0	0.0	0.7	0	£5.4m
9	BUR (H)	67	2	0	0	2	8	0	12	0.0	0.1	0.1	1.1	0	£5.4m
10	FUL (A)	14	1	0	0	0	2	0	6	0.0	0.0	0.0	0.7	0	£5.4m
11	CHE (A)	90	1	0	0	3	8	0	3	0.0	0.0	0.0	3.3	1	£5.3m
12	CRY (H)	90	4	0	0	2	17	0	20	0.0	0.0	0.0	1.3	0	£5.3m
13	AVL (A)	90	3	0	0	1	18	0	21	0.0	0.1	0.1	1.0	1	£5.3m
14	NFO (H)	90	2	0	0	1	8	0	14	0.0	0.0	0.0	0.7	0	£5.3m
15	MUN (H)	90	2	0	0	4	11	0	9	0.0	0.1	0.1	4.1	0	£5.3m
16	ARS (A)	90	4	0	0	2	13	0	15	0.0	0.0	0.0	1.1	0	£5.3m
17	BRE (H)	90	2	0	0	2	11	0	15	0.1	0.0	0.1	1.3	0	£5.3m
18	LIV (A)	90	3	0	0	2	13	0	20	0.0	0.1	0.1	1.5	1	£5.3m
19	MUN (A)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.3m
20	WHU (H)	45	1	0	0	0	5	0	5	0.0	0.0	0.0	0.2	0	£5.3m
21	EVE (A)	45	1	0	0	0	5	0	5	0.0	0.1	0.1	0.2	0	£5.3m
22	NEW (H)	90	2	0	1	0	9	0	9	0.0	0.0	0.0	0.9	1	£5.3m
23	MCI (A)	90	1	0	0	2	11	0	20	0.0	0.0	0.0	0.9	1	£5.3m
24	BOU (H)	79	3	0	0	1	14	0	14	0.0	0.0	0.0	0.5	1	£5.3m
25	CHE (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.3m
26	NFO (A)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.3m
26	ARS (H)	90	2	0	0	2	9	0	8	0.0	0.0	0.1	1.9	0	£5.3m
27	CRY (A)	90	3	0	0	1	13	0	8	0.1	0.0	0.1	2.0	1	£5.2m
28	AVL (H)	88	5	0	1	0	13	0	17	0.0	0.0	0.0	0.8	0	£5.2m
29	LIV (H)	90	12	1	0	1	20	3	46	0.1	0.1	0.1	1.8	0	£5.2m
30	BRE (A)	90	2	0	0	2	9	0	14	0.1	0.0	0.1	2.6	0	£5.2m
32	WHU (A)	90	4	0	0	4	12	0	19	0.0	0.1	0.1	2.4	0	£5.2m
33	LEE (A)	90	4	0	0	3	14	0	22	0.0	0.0	0.0	2.8	0	£5.2m
34	TOT (H)	90	1	0	0	1	11	0	12	0.0	0.0	0.0	0.9	1	£5.2m
35	SUN (H)	90	2	0	0	1	10	0	14	0.1	0.1	0.1	0.7	0	£5.2m
36	BHA (A)	90	1	0	0	3	10	0	8	0.0	0.1	0.1	1.6	1	£5.2m
37	FUL (H)	90	3	0	0	1	14	0	10	0.0	0.0	0.0	1.6	1	£5.2m
38	BUR (A)	90	4	0	0	1	13	0	14	0.0	0.0	0.0	1.0	0	£5.2m

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

+0.68

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 76 pts · he scored 79 (+3 vs expectation)

Market

Price History

Selected by %

0.1%

Net transfers, latest GW

+286

André Trindade da Costa Neto

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