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Aston Villa

Axel Disasi

Defender28 yrs
Suspended
Non-penalty xG per 90
0.071 non-penalty goals from 4 shots
Expected assists per 90
0.040 assists, 5 key passes
Finishing
+0.44goals above what the league converts the same chances into
Build-up per 90
0.242% of Aston Villa’s build-up value

Axel Disasi ranks 266th of 397 qualified players for attacking involvement, shooting from 16.7m on average, with 92% of their danger coming from set pieces.

Suspended. Suspended until 25 Oct. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.

Against their position

123 defenders

Shooting

per 90
Goals
0.11
Non-penalty goals
0.11
xG
0.07
Non-penalty xG
0.07
Shots
0.43
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
+0.4

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

Creating

per 90
Assists
0.00
Expected assists
0.04
Key passes
0.53
npxG + xA
0.10
xG chain
0.27
xG build-up
0.24
Assists against xA
-0.3

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
3season 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 7

Next fixture

Gameweek 7

away to Brighton

Sun 18 Oct, 13:00 UTC

Brighton concede 11.3 shots a match and are 0.76× the league norm against defenders. A difficult one.

Projected shots
0.35

0.43 per 90 × 0.81

Projected on target
0.09

0.11 per 90 × 0.87

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

Shots

13 appearances
  • Over 0.54 of 1331%± 13
  • Over 1.50 of 130%± 0
  • Over 2.50 of 130%± 0
  • Over 3.50 of 130%± 0

The band is one standard error, the tick the estimate. Blanks count as misses, 9 of 13.

Shooting profile

4 shots

Where they shoot

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

Axel Disasi, 2024/25, 4 shots in the final 35m, 1 scored.

left
0%
Centre
88%
right
12%

share of their shooting xG

Chance profile

quality, volume and route
xG per shot
0.156
Shots per 90
0.43
Key passes per 90
0.53
Average shot distance
16.7m
From set pieces
92%

How the chances arrive

Crosses
0%
Through balls
0%
Own dribble
31%
Headed
0%

Club role

Aston Villa

What they are for

  • On the pitch25% of available minutes.

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

Chances received

who supplies them
  1. Enzo Fernández0.5 xG1 shot, 1g
  2. Christopher Nkunku0.0 xG1 shot, 0g

Chances created

who they supply
  1. Noni Madueke0.1 xG1 shot, 0g
  2. Leon Bailey0.1 xG1 shot, 0g
  3. Ollie Watkins0.1 xG1 shot, 0g
  4. Cole Palmer0.1 xG1 shot, 0g
  5. Youri Tielemans0.0 xG1 shot, 0g

Season record

2024/25

Involvement in build-up

excludes their own shots and final passes

Axel Disasi carries 1.8% of Aston Villa’s build-up value.

  • Build-up per 900.236
    34% of defenders
  • Possession value per 900.267
    30% 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

13 appearances, oldest first
1g

at Southampton1 shot
1 on target

at Ipswich1 shot
0 on target

at Palace1 shot
0 on target

v Forest1 shot
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.