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Burnley

Maxime Estève

Defender
Non-penalty xG per 90
0.010 non-penalty goals from 10 shots
Expected assists per 90
0.020 assists, 6 key passes
Finishing
-0.40goals above what the league converts the same chances into
Build-up per 90
0.136% of Burnley’s build-up value

Maxime Estève ranks 360th of 398 qualified players for attacking involvement, shooting from 26.4m on average, with 76% of their danger coming from set pieces.

Against their position

119 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.01
Non-penalty xG
0.01
Shots
0.31
npxG per shot
0.05
Shot distance
26.4m
Set-piece share
76%
Goals against xG
-0.5

2 figures here come from match-event data, which is not recorded for 2025/26.

Creating

per 90
Assists
0.00
Expected assists
0.02
Key passes
0.18
npxG + xA
0.04
xG chain
0.14
xG build-up
0.13
Assists against xA
-0.7

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2025/26.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2025/26.

Discipline

per 90
Yellow cards
1season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2025/26.

Ranked against 119 defenders with half a match a round or more, the same comparison the compare page makes. Where less is better, such as being dispossessed, the order is turned round, so a high percentile is always the good end.

This week

Next match

Shots

34 appearances
  • Over 0.58 of 3424%± 7
  • Over 1.53 of 349%± 5
  • Over 2.51 of 343%± 3
  • Over 3.50 of 340%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 26 of 34.

Shooting profile

10 shots

Where they shoot

10 shots
Every shotBy zone
8% of shots, 1 shot8% of shots, 1 shot8% of shots, 1 shot17% of shots, 2 shots8% of shots, 1 shot17% of shots, 2 shots8% of shots, 1 shot8% of shots, 1 shot8%8%8%17%8%17%8%8%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Maxime Estève, 2025/26, final 35m. A further 17% of their shots came from outside this window.

left
12%
Centre
64%
right
24%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.045
Shots per 90
0.31
Key passes per 90
0.18
Average shot distance
26.4m
From set pieces
76%

How the chances arrive

Crosses
83%
Through balls
0%
Own dribble
0%
Headed
0%

Club role

Burnley

What they are for

  • Corners and set piecesSupplies 7% of Burnley’s dead-ball danger, from 3 deliveries that became shots.
  • On the pitch86% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Maxime Estève’soutput.

Chances received

who supplies them
  1. James Ward-Prowse0.1 xG2 shots, 0g
  2. Loum Tchaouna0.1 xG1 shot, 0g
  3. Jaidon Anthony0.1 xG2 shots, 0g
  4. Jacob Bruun Larsen0.1 xG2 shots, 0g
  5. Quilindschy Hartman0.0 xG1 shot, 0g

Chances created

who they supply
  1. Florentino Luís0.6 xG1 shot, 0g
  2. Lyle Foster0.1 xG2 shots, 0g
  3. Josh Cullen0.0 xG1 shot, 0g
  4. Hjalmar Ekdal0.0 xG1 shot, 0g
  5. Josh Laurent0.0 xG1 shot, 0g

Season record

2025/26

Involvement in build-up

excludes their own shots and final passes

Maxime Estève carries 6.0% of Burnley’s build-up value.

  • Build-up per 900.131
    9% of defenders
  • Possession value per 900.136
    4% of defenders

Ranked against 119 defenders with a comparable sample. Build-up is the value of possessions a player was involved in, with their own shots and final passes removed, so it credits the work before the chance rather than the chance.

Match by match

Match log

34 appearances, oldest first

at Spurs1 shot
1 on target

v Forest2 shots
0 on target

at Man City3 shots
0 on target

v Fulham2 shots
0 on target

at Sunderland1 shot
0 on target

at Chelsea1 shot
0 on target

v Brentford1 shot
0 on target

at Forest1 shot
0 on target

26 blanksno shot
not placed

Height is shots, solid is on target, and the dashed rule is the 1.5 line. The feed cannot date an appearance with no shot in it, so 26 sits at the end, counted but unplaced.

How to read the ties. Each rate ties back to the league average: solid where the sample is settled, broken where it is still being shrunk toward the league, an open circle where there is no cohort to rank against.