Professional DNA

Nick Young: PROFILE NOT COMPLETE YET

Playmaking · 2018-19 · 4 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Nick Young?

The evidence

Nick Young · Playmaking: 5th percentile (0.5 assists per game)

5 percentilcompared against: 50 percentil (-45) · 424 players with a sample in 2018-19

Nick Young: what moved most is Scoring

3 percentilcompared against: 68 percentil (-65) · Nick Young, from 2013-14 to 2018-19

The read

What they are, the role they held and what sets them apart. Every line comes from a figure further down this same page.

What they arePROFILE NOT COMPLETE YET
RoleShort rotation: 9.3 minutes per game across 4 games
What sets them apartPlaymaking · 5th percentile
0.5 assists per game

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring3th percentile
2.3 points per game
Playmaking5th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact2th percentile
DBPM -2.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding0th percentile
0.3 rebounds per game

Limitations

Playmaking5th percentile
Very low · 0.5 assists per game
Scoring3th percentile
Very low · 2.3 points per game
Defensive impact2th percentile
Very low · DBPM -2.5: defensive impact per 100 possessions compared with an average player
Rebounding0th percentile
Very low · 0.3 rebounds per game
Axes without enough sample
Outside shooting · Finishing at the rim
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 91th percentile → 3th percentile (-88) · Playmaking: 53th percentile → 5th percentile (-48) · Rebounding: 36th percentile → 0th percentile (-36)

2013-1491th percentile
64 games · 28.3 minutes per game
Scoring
91th percentile
Playmaking
53th percentile
Rebounding
36th percentile
2014-1580th percentile
42 games · 23.8 minutes per game
Scoring
80th percentile
Playmaking
35th percentile
Rebounding
27th percentile
2015-1647th percentile
54 games · 19.1 minutes per game
Scoring
47th percentile
Playmaking
14th percentile
Rebounding
15th percentile
2016-1778th percentile
60 games · 25.9 minutes per game
Scoring
78th percentile
Playmaking
32th percentile
Rebounding
26th percentile
2017-1843th percentile
80 games · 17.4 minutes per game
Scoring
43th percentile
Playmaking
7th percentile
Rebounding
9th percentile
2018-193th percentile
4 games · 9.3 minutes per game
Scoring
3th percentile
Playmaking
5th percentile
Rebounding
0th percentile

Context

2018-19 · 4 games · 9.3 minutes per game · Percentile against 424 measured players in 2018-19 · SportiveWorld own data

FactDerivedAssumption

What this does not prove

Percentiles compare inside the NBA. Outside it they do not mean the same thing.
It portrays the 2018-19 season, already closed. It is not what comes next.
This DNA profile does not include movement or touch data.

From here

What if…?

What happened to his team when he did not play

Career atlas

When his game changed, season by season

Where it comes from

Source

not stated

Model input

not stated

Computation

not stated

This answer

2026-10-13

Where this comes from

Season averages · closed season · its clock is the seasonBox scores · closed season · its clock is the season

Rights: Licensed data: viewable here; ask before redistributing.