Professional DNA

Toney Douglas: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 24 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Toney Douglas?

The evidence

Toney Douglas · Defensive impact: 94th percentile (DBPM 1.8: defensive impact per 100 possessions compared with an average player)

94 percentilcompared against: 50 percentil (+44) · 413 players with a sample in 2016-17

Toney Douglas: what moved most is Scoring

39 percentilcompared against: 33 percentil (+6) · Toney Douglas, from 2011-12 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 arePROFILE NOT COMPLETE YET
RoleShort rotation: 16.4 minutes per game across 24 games
What sets them apartDefensive impact · 94th percentile
DBPM 1.8: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 413 players with a sample in 2016-17. An axis without enough sample says «no data» and is not filled in.

Scoring22th percentile
4.9 points per game
Playmaking71th percentile
2.3 assists per game
Outside shootingno data
no data
Defensive impact94th percentile
DBPM 1.8: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding31th percentile
2.5 rebounds per game

Strengths

Defensive impact94th percentile
Elite · DBPM 1.8: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding31th percentile
Low · 2.5 rebounds per game
Scoring22th percentile
Very low · 4.9 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: 41th percentile → 22th percentile (-19) · Playmaking: 62th percentile → 71th percentile (+9) · Rebounding: 18th percentile → 31th percentile (+13)

2011-1241th percentile
38 games · 17.3 minutes per game
Scoring
41th percentile
Playmaking
62th percentile
Rebounding
18th percentile
2012-1348th percentile
71 games · 18.2 minutes per game
Scoring
48th percentile
Playmaking
65th percentile
Rebounding
20th percentile
2013-1422th percentile
51 games · 13.2 minutes per game
Scoring
22th percentile
Playmaking
49th percentile
Rebounding
16th percentile
2014-1519th percentile
12 games · 14.8 minutes per game
Scoring
19th percentile
Playmaking
64th percentile
Rebounding
16th percentile
2015-1656th percentile
61 games · 20.7 minutes per game
Scoring
56th percentile
Playmaking
75th percentile
Rebounding
26th percentile
2016-1722th percentile
24 games · 16.4 minutes per game
Scoring
22th percentile
Playmaking
71th percentile
Rebounding
31th percentile

Context

2016-17 · 24 games · 16.4 minutes per game · Percentile against 413 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

2026-10-13

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.