-0.36goals above what the league converts the same chances into
Build-up per 90
0.204% of Nottingham Forest’s build-up value
league 0.24
Ola Aina ranks 351st of 398 qualified players for attacking involvement, shooting from 22.7m on average, with 24% of their danger coming from set pieces.
Against their position
119 defenders
Shooting
per 90
Goals
0.0026th
Non-penalty goals
0.0026th
xG
0.0224th
Non-penalty xG
0.0225th
Shots
0.6868th
npxG per shot
0.032nd
Shot distance
22.7m15th
Set-piece share
24%16th
Goals against xG
-0.442nd
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.0025th
Expected assists
0.0232nd
Key passes
0.5166th
npxG + xA
0.0415th
xG chain
0.2232nd
xG build-up
0.2033rd
Assists against xA
-0.339th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
4.5981st
Defensive contribution
7.3749th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
3season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2025/26.
Ranked against 119 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. Recoveries and defensive contribution come from the FPL feed and are ranked in its own positions.
This week
Gameweek 7
Next fixture
Gameweek 7
vsArsenal
Sun 18 Oct, 15:30 UTC
Arsenal concede 8.3 shots a match and are 0.61× the league norm against defenders. A difficult one.
Projected shots
0.43
0.68 per 90 × 0.64
Projected on target
0.03
0.06 per 90 × 0.57
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
18 appearances
Over 0.59 of 1850%± 12
Over 1.53 of 1817%± 9
Over 2.50 of 180%± 0
Over 3.50 of 180%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 9 of 18.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Ola Aina’soutput.
Chances received
who supplies them
Nicolás Domínguez0.1 xG1 shot, 0g
Neco Williams0.0 xG1 shot, 0g
Murillo0.0 xG1 shot, 0g
Morgan Gibbs-White0.0 xG2 shots, 0g
Omari Hutchinson0.0 xG1 shot, 0g
Chances created
who they supply
Callum Hudson-Odoi0.1 xG2 shots, 0g
Morgan Gibbs-White0.1 xG2 shots, 0g
Lorenzo Lucca0.1 xG1 shot, 0g
Chris Wood0.0 xG1 shot, 0g
Igor Jesus0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Ola Aina carries 3.9%of Nottingham Forest’s build-up value.
Build-up per 900.199
33% of defenders
Possession value per 900.223
32% of defenders
Ranked against 119 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
18 appearances, oldest first
over 1.5
v West Ham2 shots 0 on target
at Villa1 shot 1 on target
at West Ham1 shot 0 on target
v Arsenal1 shot 0 on target
v Palace1 shot 0 on target
at Leeds2 shots 0 on target
v Wolves2 shots 0 on target
v Fulham1 shot 0 on target
at Sunderland1 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.