Small sample. Only 122 minutes this season, so the rates below swing heavily on a handful of moments. Read them as description, not as form.
Non-penalty xG per 90
0.871 non-penalty goals from 4 shots
league 0.14
Expected assists per 90
0.030 assists, 1 key pass
league 0.10
Finishing
-0.05goals above what the league converts the same chances into
Build-up per 90
0.361% of Nottingham Forest’s build-up value
league 0.24
Lorenzo Lucca has not reached the 450-minute floor this season, so they are not ranked against the league yet. They shoot from 9.4m on average.
Against their position
109 forwards
Shooting
per 90
Goals
0.7498th
Non-penalty goals
0.7499th
xG
0.87100th
Non-penalty xG
0.87100th
Shots
2.9589th
npxG per shot
–not ranked
Shot distance
–not ranked
Set-piece share
–not ranked
Goals against xG
-0.270th
2 figures here come from match-event data, which is not recorded for 2025/26.
Creating
per 90
Assists
0.008th
Expected assists
0.034th
Key passes
0.7426th
npxG + xA
0.9098th
xG chain
1.23100th
xG build-up
0.3690th
Assists against xA
-0.066th
On the ball
per 90
6 figures here come from match-event data, which is not recorded for 2025/26.
Defending
per 90
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 109 forwards 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
vsArsenal
Sun 18 Oct, 15:30 UTC
Arsenal concede 8.3 shots a match and are 0.70× the league norm against forwards. A difficult one.
Projected shots
2.01
2.95 per 90 × 0.68
Projected on target
0.42
0.74 per 90 × 0.57
Season rate times what this opponent concedes, over a full ninety minutes. Check availability.
Shots
4 appearances
Over 0.53 of 475%± 22
Over 1.51 of 425%± 22
Over 2.50 of 40%± 0
Over 3.50 of 40%± 0
The band is one standard error, the tick the estimate. Blanks count as misses, 1 of 4.
GoalNo goalMark area is the chance’s expected goals
Lorenzo Lucca, 2025/26, 4 shots in the final 35m, 1 scored.
left
0%
Centre
100%
right
0%
share of their shooting xG
Chance profile
quality, volume and route
xG per shot
0.296
Shots per 90
2.95
Key passes per 90
0.74
Average shot distance
9.4m
From set pieces
0%
How the chances arrive
Crosses
0%
Through balls
0%
Own dribble
0%
Headed
56%
Club role
Nottingham Forest
What they are for
On the pitch4% of available minutes.
What would actually have to be replaced. Losing the penalty taker is not the same as losing a proportional slice of Lorenzo Lucca’soutput.
Chances received
who supplies them
Omari Hutchinson0.6 xG2 shots, 1g
Callum Hudson-Odoi0.5 xG1 shot, 0g
Ola Aina0.1 xG1 shot, 0g
Chances created
who they supply
Dan Ndoye0.0 xG1 shot, 0g
Season record
2025/26
Involvement in build-up
excludes their own shots and final passes
Lorenzo Lucca carries 0.5%of Nottingham Forest’s build-up value.
Build-up per 900.360
90% of forwards
Possession value per 901.234
100% of forwards
Thin sample. Only 122 minutes, so this describes a cameo. 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
4 appearances, oldest first
over 1.5
1g
at Leeds1 shot 1 on target
v Wolves2 shots 0 on target
v Newcastle1 shot 0 on target
1 blankno 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 one 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. 122 minutes leaves every tie here broken.
