+0.12goals above what the league converts the same chances into
Build-up per 90
0.707% of Aston Villa’s build-up value
league 0.27
Ian Maatsen ranks 122nd of 397 qualified players for attacking involvement, shooting from 22.8m on average. They carry 3% of Aston Villa’s attacking involvement, the 15th largest share in the squad.
Injured. Ankle injury - Unknown return date. The rates below describe what he did, not what he is about to do. Club status as of 18 Oct 2026.
Against their position
123 defenders
Shooting
per 90
Goals
0.0884th
Non-penalty goals
0.0884th
xG
0.0885th
Non-penalty xG
0.0885th
Shots
1.5999th
npxG per shot
0.0516th
Shot distance
22.8m9th
Set-piece share
18%13th
Goals against xG
+0.074th
2 figures here come from match-event data, which is not recorded for 2024/25.
Creating
per 90
Assists
0.1794th
Expected assists
0.2597th
Key passes
1.5996th
npxG + xA
0.3497th
xG chain
0.8199th
xG build-up
0.7099th
Assists against xA
-1.013th
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
2season 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
vsManchester 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
1.30
1.59 per 90 × 0.82
Projected on target
0.32
0.42 per 90 × 0.76
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
29 appearances
Over 0.511 of 2938%± 9
Over 1.56 of 2921%± 8
Over 2.52 of 297%± 5
Over 3.50 of 290%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 18 of 29.
Ian Maatsen, 2024/25, final 35m. A further 5% of their shots came from outside this window.
left
94%
Centre
6%
right
0%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.052
Shots per 90
1.59
Key passes per 90
1.59
Average shot distance
22.8m
From set pieces
18%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
0%
Club role
Aston Villa
What they are for
On the pitch31% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Ian Maatsen’soutput.
Chances received
who supplies them
Ollie Watkins0.3 xG1 shot, 1g
Morgan Rogers0.1 xG1 shot, 0g
Leon Bailey0.1 xG1 shot, 0g
John McGinn0.1 xG2 shots, 0g
Jacob Ramsey0.0 xG1 shot, 0g
Chances created
who they supply
Leon Bailey0.7 xG2 shots, 1g
Donyell Malen0.7 xG2 shots, 1g
Jhon Durán0.5 xG5 shots, 0g
Marco Asensio0.4 xG2 shots, 0g
Ollie Watkins0.2 xG2 shots, 0g
Season record
2024/25
Involvement in build-up
excludes their own shots and final passes
Ian Maatsen carries 6.6%of Aston Villa’s build-up value.
Build-up per 900.702
98% of defenders
Possession value per 900.813
98% 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
29 appearances, oldest first
over 1.5
at Leicester1 shot 0 on target
v Palace2 shots 1 on target
v Southampton1 shot 0 on target
at Arsenal1 shot 1 on target
v West Ham1 shot 0 on target
v Ipswich2 shots 1 on target
v Forest2 shots 1 on target
at Southampton3 shots 0 on target
1g
v Newcastle3 shots 1 on target
v Fulham1 shot 0 on target
v Spurs2 shots 0 on target
18 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 18 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.