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Wolverhampton Wanderers

Mario Lemina

Midfielder
Non-penalty xG per 90
0.081 non-penalty goals from 17 shots
Expected assists per 90
0.083 assists, 10 key passes
Finishing
-0.07goals above what the league converts the same chances into
Build-up per 90
0.264% of Wolverhampton Wanderers’ build-up value

Mario Lemina ranks 205th of 397 qualified players for attacking involvement, shooting from 19.3m on average. They carry 4% of Wolverhampton Wanderers’ attacking involvement, the 10th largest share in the squad.

Against their position

137 midfielders

Shooting

per 90
Goals
0.07
Non-penalty goals
0.07
xG
0.08
Non-penalty xG
0.08
Shots
1.12
npxG per shot
0.07
Shot distance
19.3m
Set-piece share
19%
Goals against xG
-0.2

2 figures here come from match-event data, which is not recorded for 2024/25.

Creating

per 90
Assists
0.20
Expected assists
0.08
Key passes
0.66
npxG + xA
0.16
xG chain
0.35
xG build-up
0.26
Assists against xA
+1.7

On the ball

per 90

6 figures here come from match-event data, which is not recorded for 2024/25.

Defending

per 90

7 figures here come from match-event data, which is not recorded for 2024/25.

Discipline

per 90
Yellow cards
4season count
Red cards
0season count

3 figures here come from match-event data, which is not recorded for 2024/25.

Ranked against 137 midfielders 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

17 appearances
  • Over 0.58 of 1747%± 12
  • Over 1.55 of 1729%± 11
  • Over 2.52 of 1712%± 8
  • Over 3.52 of 1712%± 8

The band is one standard error, the tick the estimate. Blanks count as misses, 9 of 17.

Shooting profile

17 shots

Where they shoot

17 shots
Every shotBy zone
18% of shots, 3 shots6% of shots, 1 shot6% of shots, 1 shot12% of shots, 2 shots18% of shots, 3 shots6% of shots, 1 shot12% of shots, 2 shots6% of shots, 1 shot12% of shots, 2 shots6% of shots, 1 shot18%12%18%12%12%Opponent goalLeftRight
Share of shots<1%1–2%2–4%4–6%6%+

Mario Lemina, 2024/25, final 35m.

left
24%
Centre
71%
right
5%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.070
Shots per 90
1.12
Key passes per 90
0.66
Average shot distance
19.3m
From set pieces
19%

How the chances arrive

Crosses
63%
Through balls
0%
Own dribble
2%
Headed
3%

Club role

Wolverhampton Wanderers

What they are for

  • On the pitch40% of available minutes.

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

Chances received

who supplies them
  1. Jørgen Strand Larsen0.6 xG1 shot, 1g
  2. Matheus Cunha0.2 xG4 shots, 0g
  3. Jean-Ricner Bellegarde0.1 xG1 shot, 0g
  4. Rayan Ait Nouri0.0 xG1 shot, 0g
  5. João Gomes0.0 xG1 shot, 0g

Chances created

who they supply
  1. Matheus Cunha0.5 xG3 shots, 2g
  2. Jean-Ricner Bellegarde0.4 xG2 shots, 1g
  3. Jørgen Strand Larsen0.3 xG2 shots, 0g
  4. Toti0.0 xG1 shot, 0g
  5. João Gomes0.0 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Mario Lemina carries 4.4% of Wolverhampton Wanderers’ build-up value.

  • Build-up per 900.255
    43% of midfielders
  • Possession value per 900.352
    39% of midfielders

Ranked against 137 midfielders 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

17 appearances, oldest first

v Chelsea1 shot
0 on target

1g

v Newcastle2 shots
1 on target

at Villa2 shots
2 on target

at Brentford4 shots
1 on target

v Palace1 shot
0 on target

v Southampton1 shot
0 on target

at West Ham4 shots
1 on target

v Ipswich2 shots
0 on target

9 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 9 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.