Professional DNA

Ian Clark: ROLE PLAYER

Playmaking · 2018-19 · 60 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Ian Clark?

The evidence

Ian Clark · Playmaking: 49th percentile (1.6 assists per game)

49 percentilcompared against: 50 percentil (-1) · 423 players with a sample in 2018-19

Ian Clark: what moved most is Playmaking

43 percentilcompared against: 16 percentil (+27) · Ian Clark, from 2013-14 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 areROLE PLAYER
RoleShort rotation: 16.2 minutes per game across 60 games
What sets them apartPlaymaking · 49th percentile
1.6 assists 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.

Scoring36th percentile
6.7 points per game
Playmaking49th percentile
1.6 assists per game
Outside shooting46th percentile
Defensive impact6th percentile
DBPM -1.8: defensive impact per 100 possessions compared with an average player
Finishing at the rim27th percentile
58.5 % · 53 attempts
Rebounding7th percentile
1.5 rebounds per game

Limitations

Playmaking49th percentile
Average · 1.6 assists per game
Outside shooting46th percentile
Average
Scoring36th percentile
Low · 6.7 points per game
Finishing at the rim27th percentile
Low · 58.5 % · 53 attempts
Rebounding7th percentile
Very low · 1.5 rebounds per game
Defensive impact6th percentile
Very low · DBPM -1.8: defensive impact per 100 possessions compared with an average player
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 13th percentile → 36th percentile (+23) · Playmaking: 23th percentile → 49th percentile (+26) · Rebounding: 2th percentile → 7th percentile (+5)

2013-1423th percentile
23 games · 7.5 minutes per game
Scoring
13th percentile
Playmaking
23th percentile
Rebounding
2th percentile
2014-158th percentile
30 games · 6.4 minutes per game
Scoring
3th percentile
Playmaking
8th percentile
Rebounding
0th percentile
2015-1632th percentile
66 games · 8.8 minutes per game
Scoring
13th percentile
Playmaking
32th percentile
Rebounding
3th percentile
2016-1742th percentile
77 games · 14.8 minutes per game
Scoring
43th percentile
Playmaking
42th percentile
Rebounding
12th percentile
2017-1847th percentile
74 games · 19.7 minutes per game
Scoring
43th percentile
Playmaking
47th percentile
Rebounding
12th percentile
2018-1949th percentile
60 games · 16.2 minutes per game
Scoring
36th percentile
Playmaking
49th percentile
Rebounding
7th percentile

Context

2018-19 · 60 games · 16.2 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.