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Manchester United

Lisandro Martínez

Centre-back28 yrs
Non-penalty xG per 90
0.030 non-penalty goals from 6 shots
Expected assists per 90
0.000 assists, 1 key pass
Finishing
-0.14goals above what the league converts the same chances into
Build-up per 90
0.327% of Manchester United’s build-up value

Lisandro Martínez ranks 109th of 138 qualified players for attacking involvement, shooting from 32.5m on average, with 91% of their danger coming from set pieces.

Against their position

81 defenders

Average match rating6.11

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.03
Non-penalty xG
0.03
Shots
1.20
Shots on target
0.00
Shot accuracy
–not ranked
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.2

Creating

per 90
Assists
0.00
Expected assists
0.00
Key passes
0.20
npxG + xA
0.04
xG chain
0.32
xG build-up
0.32
Assists against xA
-0.0

On the ball

per 90
Touches
76.50
Passes
68.00
Pass completion
93%
Take-ons attempted
0.00
Take-on success
–not ranked
Dispossessed
0.50

Defending

per 90
Tackles
1.00
Tackles won
–not ranked
Interceptions
0.50
Clearances
3.50
Aerials won
3.00
Aerial success
–not ranked
Dribbled past
1.00

Discipline

per 90
Fouls committed
0.00
Caught offside
0.00
Errors
1season count
Yellow cards
1season count
Red cards
0season count

Ranked against 81 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

Gameweek 7

Next fixture

Gameweek 7

away to Leeds

Sun 18 Oct, 13:00 UTC

Leeds concede 14.5 shots a match and are 0.98× the league norm against centre-backs (7 shots so far). Roughly an average matchup.

Projected shots
1.22

1.20 per 90 × 1.01

Projected on target
0.42

0.40 per 90 × 1.04

Season rate times what this opponent concedes, over a full ninety minutes. Check availability.

Shots

5 appearances
  • Over 0.53 of 560%± 22
  • Over 1.51 of 520%± 18
  • Over 2.51 of 520%± 18
  • Over 3.51 of 520%± 18

The band is one standard error, the tick the estimate. Blanks count as misses, 2 of 5.

Shooting profile

6 shots

Where they shoot

6 shots
Every shotBy zone
14% of shots, 1 shot14% of shots, 1 shot14% of shots, 1 shot14% of shots, 1 shot14% of shots, 1 shot14% of shots, 1 shot14%14%14%14%14%14%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Lisandro Martínez, 2026/27, final 35m. A further 14% of their shots came from outside this window.

left
38%
Centre
34%
right
28%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.027
Shots per 90
1.20
Key passes per 90
0.20
Average shot distance
32.5m
From set pieces
91%

How the chances arrive

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

Club role

Manchester United

What they are for

  • On the pitch83% of available minutes.

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

Chances received

who supplies them
  1. Patrick Dorgu0.0 xG1 shot, 0g
  2. Diogo Dalot0.0 xG1 shot, 0g

Chances created

who they supply
  1. Matheus Cunha0.0 xG1 shot, 0g

Season record

2026/27

Involvement in build-up

excludes their own shots and final passes

Lisandro Martínez carries 6.8% of Manchester United’s build-up value.

  • Build-up per 900.319
    52% of defenders
  • Possession value per 900.322
    42% of defenders

Ranked against 52 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

5 appearances, oldest first

v Ipswich1 shot
0 on target

v Man City1 shot
1 on target

at Fulham5 shots
1 on target

2 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 2 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.