-1.21goals above what the league converts the same chances into
Build-up per 90
0.252% of Aston Villa’s build-up value
league 0.28
Jacob Ramsey ranks 111th of 402 qualified players for attacking involvement, shooting from 16.5m on average. They carry 3% of Aston Villa’s attacking involvement, the 10th largest share in the squad.
Injured. Thigh injury - Unknown return date. The rates below describe what he did, not what he is about to do. Club status as of 17 Oct 2026.
Against their position
128 midfielders
Shooting
per 90
Goals
0.1165th
Non-penalty goals
0.1167th
xG
0.2592nd
Non-penalty xG
0.2593rd
Shots
2.0887th
npxG per shot
0.1289th
Shot distance
16.5m89th
Set-piece share
1%2nd
Goals against xG
-1.314th
2 figures here come from match-event data, which is not recorded for 2023/24.
Creating
per 90
Assists
0.1164th
Expected assists
0.1054th
Key passes
0.9853rd
npxG + xA
0.3580th
xG chain
0.5766th
xG build-up
0.2536th
Assists against xA
+0.173rd
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2023/24.
Defending
per 90
7 figures here come from match-event data, which is not recorded for 2023/24.
Discipline
per 90
Yellow cards
2season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2023/24.
Ranked against 128 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
Gameweek 8
Next fixture
Gameweek 8
away toCrystal Palace
Sun 25 Oct, 14:00 UTC
Crystal Palace concede 12.1 shots a match and are 0.92× the league norm against midfielders. A difficult one.
Projected shots
1.86
2.08 per 90 × 0.90
Projected on target
0.36
0.44 per 90 × 0.83
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
16 appearances
Over 0.59 of 1656%± 12
Over 1.57 of 1644%± 12
Over 2.51 of 166%± 6
Over 3.51 of 166%± 6
The band is one standard error, the tick the estimate. Blanks count as misses, 7 of 16.
GoalNo goalMark area is the chance’s expected goals
Jacob Ramsey, 2023/24, 19 shots in the final 35m, 1 scored.
left
39%
Centre
27%
right
34%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.122
Shots per 90
2.08
Key passes per 90
0.98
Average shot distance
16.5m
From set pieces
1%
How the chances arrive
Crosses
0%
Through balls
5%
Own dribble
3%
Headed
0%
Club role
Aston Villa
What they are for
On the pitch24% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Jacob Ramsey’soutput.
Chances received
who supplies them
Leon Bailey0.9 xG5 shots, 0g
Ezri Konsa Ngoyo0.5 xG1 shot, 0g
Ollie Watkins0.3 xG4 shots, 1g
John McGinn0.2 xG2 shots, 0g
Boubacar Kamara0.1 xG1 shot, 0g
Chances created
who they supply
Douglas Luiz0.4 xG2 shots, 1g
Ollie Watkins0.2 xG2 shots, 0g
Álex Moreno0.1 xG1 shot, 0g
Matthew Cash0.1 xG1 shot, 0g
John McGinn0.0 xG1 shot, 0g
Season record
2023/24
Involvement in build-up
excludes their own shots and final passes
Jacob Ramsey carries 1.6%of Aston Villa’s build-up value.
Build-up per 900.247
36% of midfielders
Possession value per 900.567
66% of midfielders
Ranked against 128 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
16 appearances, oldest first
over 1.5
at Chelsea1 shot 1 on target
1g
v Brighton2 shots 1 on target
at Brentford2 shots 1 on target
at Man Utd1 shot 0 on target
v Burnley2 shots 0 on target
v Man Utd5 shots 0 on target
at Fulham2 shots 0 on target
v Forest2 shots 0 on target
at Luton2 shots 1 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.