Professional DNA

Jason Smith: PROFILE NOT COMPLETE YET

Rebounding · 2018-19 · 20 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Jason Smith?

The evidence

Jason Smith · Rebounding: 30th percentile (2.6 rebounds per game)

30 percentilcompared against: 50 percentil (-20) · 423 players with a sample in 2018-19

Jason Smith: what moved most is Scoring

8 percentilcompared against: 48 percentil (-40) · Jason Smith, from 2013-14 to 2017-18

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: 9.5 minutes per game across 20 games
What sets them apartRebounding · 30th percentile
2.6 rebounds per game

The axes, one by one

Every axis with its percentile against 423 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring6th percentile
3.3 points per game
Playmaking13th percentile
0.7 assists per game
Outside shootingno data
no data
Defensive impact18th percentile
DBPM -1.0: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding30th percentile
2.6 rebounds per game

Limitations

Rebounding30th percentile
Low · 2.6 rebounds per game
Defensive impact18th percentile
Very low · DBPM -1.0: defensive impact per 100 possessions compared with an average player
Playmaking13th percentile
Very low · 0.7 assists per game
Scoring6th percentile
Very low · 3.3 points 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: 62th percentile → 6th percentile (-56) · Playmaking: 33th percentile → 13th percentile (-20) · Rebounding: 82th percentile → 30th percentile (-52)

2013-1462th percentile
31 games · 26.8 minutes per game
Scoring
62th percentile
Playmaking
33th percentile
Rebounding
82th percentile
2014-1552th percentile
82 games · 21.8 minutes per game
Scoring
52th percentile
Playmaking
57th percentile
Rebounding
60th percentile
2015-1645th percentile
76 games · 15.5 minutes per game
Scoring
45th percentile
Playmaking
23th percentile
Rebounding
40th percentile
2016-1731th percentile
74 games · 14.4 minutes per game
Scoring
31th percentile
Playmaking
9th percentile
Rebounding
55th percentile
2017-189th percentile
33 games · 8.6 minutes per game
Scoring
9th percentile
Playmaking
4th percentile
Rebounding
9th percentile
2018-196th percentile
20 games · 9.5 minutes per game
Scoring
6th percentile
Playmaking
13th percentile
Rebounding
30th percentile

Context

2018-19 · 20 games · 9.5 minutes per game · Percentile against 423 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.