Professional DNA

Joel Anthony: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 19 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Joel Anthony?

The evidence

Joel Anthony · Defensive impact: 89th percentile (DBPM 1.4: defensive impact per 100 possessions compared with an average player)

89 percentilcompared against: 50 percentil (+39) · 414 players with a sample in 2016-17

Joel Anthony: what moved most is Rebounding

13 percentilcompared against: 62 percentil (-49) · Joel Anthony, from 2011-12 to 2012-13

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: 6.4 minutes per game across 19 games
What sets them apartDefensive impact · 89th percentile
DBPM 1.4: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 414 players with a sample in 2016-17. An axis without enough sample says «no data» and is not filled in.

Scoring0th percentile
1.3 points per game
Playmaking1th percentile
0.2 assists per game
Outside shootingno data
no data
Defensive impact89th percentile
DBPM 1.4: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding12th percentile
1.6 rebounds per game

Strengths

Defensive impact89th percentile
Very high · DBPM 1.4: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding12th percentile
Very low · 1.6 rebounds per game
Playmaking1th percentile
Very low · 0.2 assists per game
Scoring0th percentile
Very low · 1.3 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: 17th percentile → 0th percentile (-17) · Playmaking: 0th percentile → 1th percentile (+1) · Rebounding: 62th percentile → 12th percentile (-50)

2011-1262th percentile
64 games · 21.1 minutes per game
Scoring
17th percentile
Playmaking
0th percentile
Rebounding
62th percentile
2012-1320th percentile
62 games · 9.1 minutes per game
Scoring
2th percentile
Playmaking
0th percentile
Rebounding
20th percentile
2013-148th percentile
33 games · 5.6 minutes per game
Scoring
1th percentile
Playmaking
0th percentile
Rebounding
8th percentile
2014-1519th percentile
49 games · 8.3 minutes per game
Scoring
2th percentile
Playmaking
0th percentile
Rebounding
19th percentile
2015-165th percentile
19 games · 5.1 minutes per game
Scoring
0th percentile
Playmaking
0th percentile
Rebounding
5th percentile
2016-1712th percentile
19 games · 6.4 minutes per game
Scoring
0th percentile
Playmaking
1th percentile
Rebounding
12th percentile

Context

2016-17 · 19 games · 6.4 minutes per game · Percentile against 414 measured players in 2016-17 · 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 2016-17 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

2026-10-14

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.