2025/26 archive

Ibrahima Konaté

2025/26 season archive

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

Liverpool

Pace

2.0

points per gameweek

Minutes

94%

reached 60' · 36 of 36 starts

Market

Selling

3,148 net transfers

How he ranks

36 games · 119 defenders

Points

53rd3.76

xGI

19th0.06

xGC

91st1.18

DefCon

67th8.5

BPS

68th15.5

Minutes

88th3090

xGI is what drags him — 19th of 119, against 53rd for points.

Final price£5.4m

Form (10 GW)2.0

Pts / Match3.6

GW38 Pts1

Total Pts1293.8 per 90

Total Bonus80.2 per 90

ICT Index106.1

Selected by %3.8%

xGI2.20.1 per 90

G+A − xGI−1.2underperforming

On dutyDefCon bonus13/36 apps

Minutes and bonus

Started

36/36

100% of appearances

Reached 60'

94%

34 of 36 games

Bonus won

in 5 of 36 games

BPS per game

14.8

14% bonus strike rate

Where the points come from

Appearance7047%

Clean sheets4027%

DefCon2617%

Bonus85%

Goals64%

Goals conceded-14

Cards-7

47% of his points earned came from appearance. No single source dominates, though bonus tends to follow whichever one leads. 150 earned, 129 net

Are the returns real?

His goals and assists are in line with the chances behind them — −1.2 against expectation over 3090 minutes.

Full seasons on record

2024/25 +0.3

2023/24 −1.2

2022/23 −1.9

2021/22 0.0

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

Defensive Contribution

He averages 8.1 against a line of 10 — close enough that a busy game gets him there, but not reliably.

Cleared

13/36

36% of games

Average

8.1

line is 10

Versus the line

-1.9

short on average

Action mix

18% tackles · 82% CBI

Against each level of opponent

He scores 3.1 more per game against the easiest opponents he faced than the hardest — a fixture-dependent asset.

too few games(2)

4.83 per game(6)

4 per game(19)

1.71 per game(7)

too few games(2)

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

Gameweek log

	Opponent
1	BOU (H)	90	1	0	0	2	7	0	6	0.0	0.0	0.0	1.7	0	£5.5m
2	NEW (A)	90	0	0	0	2	6	0	5	0.0	0.0	0.0	0.9	1	£5.5m
3	ARS (H)	78	6	0	1	0	5	0	26	0.0	0.0	0.0	0.4	0	£5.5m
4	BUR (A)	86	9	0	1	0	7	3	29	0.5	0.1	0.5	0.1	0	£5.5m
5	EVE (H)	90	4	0	0	1	11	0	9	0.0	0.0	0.0	0.7	0	£5.5m
6	CRY (A)	73	3	0	0	1	14	0	14	0.1	0.1	0.1	2.2	1	£5.5m
7	CHE (A)	55	1	0	0	1	4	0	10	0.0	0.0	0.0	0.1	0	£5.5m
8	MUN (H)	90	3	0	0	2	11	0	11	0.0	0.2	0.2	1.3	0	£5.5m
9	BRE (A)	90	3	0	0	3	10	0	8	0.0	0.0	0.0	2.8	0	£5.4m
10	AVL (H)	90	8	0	1	0	12	0	21	0.1	0.0	0.1	0.4	0	£5.4m
11	MCI (A)	90	1	0	0	3	7	0	3	0.0	0.0	0.0	1.6	0	£5.4m
12	NFO (H)	54	0	0	0	2	3	0	1	0.0	0.0	0.0	0.7	0	£5.4m
13	WHU (A)	90	8	0	1	0	13	0	27	0.0	0.0	0.0	0.3	0	£5.4m
14	SUN (H)	90	4	0	0	1	11	0	19	0.0	0.0	0.0	0.4	0	£5.4m
15	LEE (A)	90	1	0	0	3	8	0	4	0.1	0.0	0.1	1.5	0	£5.4m
16	BHA (H)	90	9	0	1	0	16	2	30	0.0	0.0	0.0	1.9	1	£5.4m
17	TOT (A)	90	1	0	0	1	7	0	5	0.0	0.0	0.0	1.1	1	£5.4m
18	WOL (H)	90	2	0	0	1	4	0	10	0.0	0.0	0.0	1.1	0	£5.4m
19	LEE (H)	90	7	0	1	0	9	1	28	0.0	0.2	0.2	0.7	0	£5.4m
20	FUL (A)	90	1	0	0	2	5	0	10	0.0	0.0	0.0	0.8	0	£5.4m
21	ARS (A)	90	7	0	1	0	10	0	27	0.0	0.0	0.0	0.6	1	£5.4m
22	BUR (H)	90	2	0	0	1	7	0	12	0.0	0.1	0.1	0.4	0	£5.4m
23	BOU (A)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.4m
24	NEW (H)	90	11	1	0	1	13	1	29	0.2	0.0	0.2	0.4	0	£5.4m
25	MCI (H)	90	1	0	0	2	9	0	9	0.0	0.0	0.0	2.9	0	£5.4m
26	SUN (A)	90	6	0	1	0	8	0	26	0.0	0.0	0.0	0.6	0	£5.4m
27	NFO (A)	90	9	0	1	0	12	1	32	0.0	0.0	0.0	1.2	0	£5.4m
28	WHU (H)	90	1	0	0	2	9	0	12	0.0	0.0	0.0	1.9	0	£5.4m
29	WOL (A)	78	2	0	0	1	4	0	15	0.0	0.0	0.0	0.3	0	£5.5m
30	TOT (H)	0	0	0	0	0	0	0	0	0.0	0.0	0.0	0.0	0	£5.5m
31	BHA (A)	76	0	0	0	2	7	0	5	0.0	0.0	0.0	2.0	1	£5.5m
32	FUL (H)	90	6	0	1	0	3	0	24	0.0	0.0	0.0	1.0	0	£5.5m
33	EVE (A)	90	4	0	0	1	14	0	20	0.0	0.0	0.0	0.8	0	£5.5m
34	CRY (H)	90	4	0	0	1	10	0	25	0.0	0.0	0.0	2.3	0	£5.5m
35	MUN (A)	86	1	0	0	3	5	0	3	0.0	0.0	0.0	2.2	0	£5.5m
36	CHE (H)	76	2	0	0	1	3	0	7	0.0	0.0	0.0	0.5	0	£5.5m
37	AVL (A)	90	0	0	0	4	5	0	0	0.0	0.0	0.0	1.9	0	£5.4m
38	BRE (H)	88	1	0	0	1	4	0	10	0.1	0.0	0.2	1.1	1	£5.4m

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

3.8

points, average

Direction

−0.25

broadly steady

Sample

gameweeks behind it

Direction = last five gameweeks vs the five before. The model is injury-blind.

Chance of hitting any score

Points by gameweek · with model expectation

Points scoredModel expectation, set before kick-off

GW8–38: model expected 117 pts · he scored 105 (−12 vs expectation)

Market

Price History

Selected by %

3.8%

Net transfers, latest GW

−3148

Ibrahima Konaté

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

Chance of hitting any score?

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

Chance of hitting any score

Points by gameweek · with model expectation

Price History