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Aston Villa

Tyrone Mings

Defender33 yrs
Non-penalty xG per 90
0.060 non-penalty goals from 9 shots
Expected assists per 90
0.010 assists, 3 key passes
Finishing
-0.72goals above what the league converts the same chances into
Build-up per 90
0.404% of Aston Villa’s build-up value

Tyrone Mings ranks 295th of 397 qualified players for attacking involvement, shooting from 11.8m on average, with 98% of their danger coming from set pieces.

Against their position

123 defenders

Shooting

per 90
Goals
0.00
Non-penalty goals
0.00
xG
0.06
Non-penalty xG
0.06
Shots
0.71
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.8

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

Creating

per 90
Assists
0.00
Expected assists
0.01
Key passes
0.24
npxG + xA
0.08
xG chain
0.42
xG build-up
0.40
Assists against xA
-0.2

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
1season count
Red cards
0season count

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

Ranked against 123 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 8

Next fixture

Gameweek 8

vs Manchester City

Sat 24 Oct, 11:30 UTC

Manchester City concede 9.3 shots a match and are 0.91× the league norm against defenders. A difficult one.

Projected shots
0.58

0.71 per 90 × 0.82

Projected on target
0.06

0.08 per 90 × 0.76

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

Shots

14 appearances
  • Over 0.57 of 1450%± 13
  • Over 1.52 of 1414%± 9
  • Over 2.50 of 140%± 0
  • Over 3.50 of 140%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 7 of 14.

Shooting profile

9 shots

Where they shoot

9 shots
Every shotBy zone
Opponent goalLeftRight
GoalNo goalMark area is the chance’s expected goals

Tyrone Mings, 2024/25, 9 shots in the final 35m, 0 scored.

left
9%
Centre
82%
right
9%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.089
Shots per 90
0.71
Key passes per 90
0.24
Average shot distance
11.8m
From set pieces
98%

How the chances arrive

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

Club role

Aston Villa

What they are for

  • On the pitch33% of available minutes.

What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Tyrone Mings’output.

Chances received

who supplies them
  1. Youri Tielemans0.5 xG2 shots, 0g
  2. John McGinn0.1 xG2 shots, 0g
  3. Marcus Rashford0.1 xG2 shots, 0g
  4. Lucas Digne0.1 xG1 shot, 0g
  5. Marco Asensio0.0 xG1 shot, 0g

Chances created

who they supply
  1. Jacob Ramsey0.1 xG1 shot, 0g
  2. Leon Bailey0.0 xG1 shot, 0g
  3. Marcus Rashford0.0 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Tyrone Mings carries 4.0% of Aston Villa’s build-up value.

  • Build-up per 900.402
    75% of defenders
  • Possession value per 900.416
    65% of defenders

Ranked against 123 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

14 appearances, oldest first

v Brentford2 shots
0 on target

v Brighton1 shot
0 on target

v Liverpool1 shot
0 on target

at Brentford1 shot
1 on target

v Forest1 shot
0 on target

at Southampton2 shots
0 on target

v Newcastle1 shot
0 on target

7 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 7 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.