Professional DNA

Josh Smith: PROFILE NOT COMPLETE YET

Rebounding · 2017-18 · 3 games

percentil

Confidence: lowData through: 2017-18

The question

What kind of player is Josh Smith?

The evidence

Josh Smith · Rebounding: 6th percentile (1.3 rebounds per game)

6 percentilcompared against: 50 percentil (-44) · 415 players with a sample in 2017-18

Josh Smith: what moved most is Scoring

17 percentilcompared against: 88 percentil (-71) · Josh Smith, from 2011-12 to 2015-16

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: 4.0 minutes per game across 3 games
What sets them apartRebounding · 6th percentile
1.3 rebounds per game

The axes, one by one

Every axis with its percentile against 415 players with a sample in 2017-18. An axis without enough sample says «no data» and is not filled in.

Scoring0th percentile
0.7 points per game
Playmaking0th percentile
0.0 assists per game
Outside shootingno data
no data
Defensive impact0th percentile
DBPM -6.2: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding6th percentile
1.3 rebounds per game

Limitations

Rebounding6th percentile
Very low · 1.3 rebounds per game
Scoring0th percentile
Very low · 0.7 points per game
Playmaking0th percentile
Very low · 0.0 assists per game
Defensive impact0th percentile
Very low · DBPM -6.2: defensive impact per 100 possessions compared with an average player
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: 94th percentile → 0th percentile (-94) · Playmaking: 88th percentile → 0th percentile (-88) · Rebounding: 96th percentile → 6th percentile (-90)

2011-1294th percentile
66 games · 35.3 minutes per game
Scoring
94th percentile
Playmaking
88th percentile
Rebounding
96th percentile
2012-1393th percentile
76 games · 35.3 minutes per game
Scoring
93th percentile
Playmaking
89th percentile
Rebounding
94th percentile
2013-1488th percentile
77 games · 35.5 minutes per game
Scoring
88th percentile
Playmaking
82th percentile
Rebounding
88th percentile
2014-1577th percentile
83 games · 27.7 minutes per game
Scoring
77th percentile
Playmaking
82th percentile
Rebounding
85th percentile
2015-1634th percentile
55 games · 16.0 minutes per game
Scoring
34th percentile
Playmaking
54th percentile
Rebounding
53th percentile
2017-180th percentile
3 games · 4.0 minutes per game
Scoring
0th percentile
Playmaking
0th percentile
Rebounding
6th percentile

Context

2017-18 · 3 games · 4.0 minutes per game · Percentile against 415 measured players in 2017-18 · 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 2017-18 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.