+0.39goals above what the league converts the same chances into
Build-up per 90
0.286% of Nottingham Forest’s build-up value
league 0.24
Callum Hudson-Odoi ranks 107th of 398 qualified players for attacking involvement, shooting from 20.1m on average. They carry 9% of Nottingham Forest’s attacking involvement, the 4th largest share in the squad.
Against their position
142 midfielders
Shooting
per 90
Goals
0.1577th
Non-penalty goals
0.1578th
xG
0.1477th
Non-penalty xG
0.1477th
Shots
1.4573rd
npxG per shot
0.1065th
Shot distance
20.1m45th
Set-piece share
2%4th
Goals against xG
+0.063rd
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.1987th
Expected assists
0.1978th
Key passes
2.1395th
npxG + xA
0.3380th
xG chain
0.5480th
xG build-up
0.2856th
Assists against xA
+0.164th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
Recoveries
3.3316th
Defensive contribution
5.199th
7 figures here come from match-event data, which is not recorded for 2025/26.
Discipline
per 90
Yellow cards
0season count
Red cards
0season count
3 figures here come from match-event data, which is not recorded for 2025/26.
Ranked against 142 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. 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 0.69× the league norm against midfielders. A difficult one.
Projected shots
0.98
1.45 per 90 × 0.67
Projected on target
0.27
0.48 per 90 × 0.57
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
30 appearances
Over 0.518 of 3060%± 9
Over 1.57 of 3023%± 8
Over 2.53 of 3010%± 5
Over 3.52 of 307%± 5
The band is one standard error, the tick the estimate. Blanks count as misses, 12 of 30.
Ranked against 142 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
30 appearances, oldest first
over 1.5
v Brentford1 shot 1 on target
1g
at Palace2 shots 1 on target
v West Ham1 shot 1 on target
at Burnley1 shot 0 on target
at Newcastle1 shot 1 on target
v Man Utd4 shots 0 on target
v Brighton1 shot 0 on target
at Everton1 shot 0 on target
2g
v Spurs3 shots 2 on target
at Fulham1 shot 0 on target
v Everton2 shots 0 on target
at West Ham2 shots 0 on target
v Arsenal1 shot 0 on target
at Leeds1 shot 1 on target
v Wolves4 shots 2 on target
v Liverpool1 shot 1 on target
at Brighton1 shot 0 on target
v Villa2 shots 0 on target
12 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 12 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.