Professional DNA

Earl Clark: PROFILE NOT COMPLETE YET

Defensive impact · 2014-15 · 10 games

percentil

Confidence: lowData through: 2014-15

The question

What kind of player is Earl Clark?

The evidence

Earl Clark · Defensive impact: 44th percentile (DBPM -0.1: defensive impact per 100 possessions compared with an average player)

44 percentilcompared against: 50 percentil (-6) · 424 players with a sample in 2014-15

Earl Clark: what moved most is Rebounding

32 percentilcompared against: 39 percentil (-7) · Earl Clark, from 2009-10 to 2013-14

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 10 games
What sets them apartDefensive impact · 44th percentile
DBPM -0.1: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2014-15. An axis without enough sample says «no data» and is not filled in.

Scoring7th percentile
2.7 points per game
Playmaking4th percentile
0.3 assists per game
Outside shootingno data
no data
Defensive impact44th percentile
DBPM -0.1: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding27th percentile
2.3 rebounds per game

Limitations

Defensive impact44th percentile
Average · DBPM -0.1: defensive impact per 100 possessions compared with an average player
Rebounding27th percentile
Low · 2.3 rebounds per game
Scoring7th percentile
Very low · 2.7 points per game
Playmaking4th percentile
Very low · 0.3 assists 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: 9th percentile → 7th percentile (-2) · Playmaking: 11th percentile → 4th percentile (-7) · Rebounding: 7th percentile → 27th percentile (+20)

2009-107th percentile
51 games · 7.5 minutes per game
Scoring
9th percentile
Playmaking
11th percentile
Rebounding
7th percentile
2010-1130th percentile
42 games · 11.0 minutes per game
Scoring
19th percentile
Playmaking
3th percentile
Rebounding
30th percentile
2011-1240th percentile
45 games · 12.4 minutes per game
Scoring
9th percentile
Playmaking
11th percentile
Rebounding
40th percentile
2012-1379th percentile
59 games · 23.1 minutes per game
Scoring
47th percentile
Playmaking
42th percentile
Rebounding
79th percentile
2013-1436th percentile
54 games · 14.2 minutes per game
Scoring
29th percentile
Playmaking
4th percentile
Rebounding
36th percentile
2014-1527th percentile
10 games · 9.3 minutes per game
Scoring
7th percentile
Playmaking
4th percentile
Rebounding
27th percentile

Context

2014-15 · 10 games · 9.3 minutes per game · Percentile against 424 measured players in 2014-15 · 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 2014-15 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.