Professional DNA

Gary Neal: PROFILE NOT COMPLETE YET

Playmaking · 2016-17 · 2 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Gary Neal?

The evidence

Gary Neal · Playmaking: 9th percentile (0.5 assists per game)

9 percentilcompared against: 50 percentil (-41) · 414 players with a sample in 2016-17

Gary Neal: what moved most is Scoring

2 percentilcompared against: 64 percentil (-62) · Gary Neal, from 2011-12 to 2016-17

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: 9.0 minutes per game across 2 games
What sets them apartPlaymaking · 9th percentile
0.5 assists per game

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.

Scoring2th percentile
2.0 points per game
Playmaking9th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact0th percentile
DBPM -5.4: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding0th percentile
0.5 rebounds per game

Limitations

Playmaking9th percentile
Very low · 0.5 assists per game
Scoring2th percentile
Very low · 2.0 points per game
Defensive impact0th percentile
Very low · DBPM -5.4: defensive impact per 100 possessions compared with an average player
Rebounding0th percentile
Very low · 0.5 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: 63th percentile → 2th percentile (-61) · Playmaking: 66th percentile → 9th percentile (-57) · Rebounding: 23th percentile → 0th percentile (-23)

2011-1263th percentile
56 games · 21.5 minutes per game
Scoring
63th percentile
Playmaking
66th percentile
Rebounding
23th percentile
2012-1360th percentile
68 games · 21.8 minutes per game
Scoring
60th percentile
Playmaking
61th percentile
Rebounding
25th percentile
2013-1468th percentile
52 games · 21.4 minutes per game
Scoring
68th percentile
Playmaking
56th percentile
Rebounding
16th percentile
2014-1564th percentile
54 games · 22.1 minutes per game
Scoring
64th percentile
Playmaking
63th percentile
Rebounding
30th percentile
2015-1663th percentile
40 games · 20.2 minutes per game
Scoring
63th percentile
Playmaking
41th percentile
Rebounding
22th percentile
2016-172th percentile
2 games · 9.0 minutes per game
Scoring
2th percentile
Playmaking
9th percentile
Rebounding
0th percentile

Context

2016-17 · 2 games · 9.0 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

2026-10-13

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.