Professional DNA

Darrell Arthur: PROFILE NOT COMPLETE YET

Defensive impact · 2017-18 · 19 games

percentil

Confidence: lowData through: 2017-18

The question

What kind of player is Darrell Arthur?

The evidence

Darrell Arthur · Defensive impact: 32th percentile (DBPM -0.5: defensive impact per 100 possessions compared with an average player)

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

Darrell Arthur: what moved most is Rebounding

2 percentilcompared against: 47 percentil (-45) · Darrell Arthur, from 2012-13 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: 7.4 minutes per game across 19 games
What sets them apartDefensive impact · 32th percentile
DBPM -0.5: defensive impact per 100 possessions compared with an average player

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.

Scoring6th percentile
2.8 points per game
Playmaking7th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact32th percentile
DBPM -0.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding2th percentile
0.8 rebounds per game

Limitations

Defensive impact32th percentile
Low · DBPM -0.5: defensive impact per 100 possessions compared with an average player
Playmaking7th percentile
Very low · 0.5 assists per game
Scoring6th percentile
Very low · 2.8 points per game
Rebounding2th 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: 38th percentile → 6th percentile (-32) · Playmaking: 19th percentile → 7th percentile (-12) · Rebounding: 45th percentile → 2th percentile (-43)

2012-1345th percentile
59 games · 16.4 minutes per game
Scoring
38th percentile
Playmaking
19th percentile
Rebounding
45th percentile
2013-1447th percentile
68 games · 17.1 minutes per game
Scoring
37th percentile
Playmaking
33th percentile
Rebounding
47th percentile
2014-1541th percentile
58 games · 17.0 minutes per game
Scoring
41th percentile
Playmaking
35th percentile
Rebounding
41th percentile
2015-1666th percentile
70 games · 21.7 minutes per game
Scoring
48th percentile
Playmaking
46th percentile
Rebounding
66th percentile
2016-1735th percentile
41 games · 15.6 minutes per game
Scoring
38th percentile
Playmaking
32th percentile
Rebounding
35th percentile
2017-182th percentile
19 games · 7.4 minutes per game
Scoring
6th percentile
Playmaking
7th percentile
Rebounding
2th percentile

Context

2017-18 · 19 games · 7.4 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.