Professional DNA

J.R. Smith: PROFILE NOT COMPLETE YET

Playmaking · 2019-20 · 6 games

percentil

Confidence: lowData through: 2019-20

The question

What kind of player is J.R. Smith?

The evidence

J.R. Smith · Playmaking: 5th percentile (0.5 assists per game)

5 percentilcompared against: 50 percentil (-45) · 406 players with a sample in 2019-20

J.R. Smith: what moved most is Scoring

4 percentilcompared against: 58 percentil (-54) · J.R. Smith, from 2014-15 to 2019-20

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: 13.2 minutes per game across 6 games
What sets them apartPlaymaking · 5th percentile
0.5 assists per game

The axes, one by one

Every axis with its percentile against 406 players with a sample in 2019-20. An axis without enough sample says «no data» and is not filled in.

Scoring4th percentile
2.8 points per game
Playmaking5th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact3th percentile
DBPM -2.0: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding0th percentile
0.8 rebounds per game

Limitations

Playmaking5th percentile
Very low · 0.5 assists per game
Scoring4th percentile
Very low · 2.8 points per game
Defensive impact3th percentile
Very low · DBPM -2.0: defensive impact per 100 possessions compared with an average player
Rebounding0th percentile
Very low · 0.8 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: 75th percentile → 4th percentile (-71) · Playmaking: 76th percentile → 5th percentile (-71) · Rebounding: 45th percentile → 0th percentile (-45)

2014-1575th percentile
70 games · 29.7 minutes per game
Scoring
75th percentile
Playmaking
76th percentile
Rebounding
45th percentile
2015-1676th percentile
77 games · 30.7 minutes per game
Scoring
76th percentile
Playmaking
56th percentile
Rebounding
39th percentile
2016-1756th percentile
41 games · 29.0 minutes per game
Scoring
56th percentile
Playmaking
51th percentile
Rebounding
37th percentile
2017-1850th percentile
80 games · 28.1 minutes per game
Scoring
50th percentile
Playmaking
56th percentile
Rebounding
38th percentile
2018-1935th percentile
11 games · 20.2 minutes per game
Scoring
35th percentile
Playmaking
57th percentile
Rebounding
9th percentile
2019-204th percentile
6 games · 13.2 minutes per game
Scoring
4th percentile
Playmaking
5th percentile
Rebounding
0th percentile

Context

2019-20 · 6 games · 13.2 minutes per game · Percentile against 406 measured players in 2019-20 · 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 2019-20 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.