Professional DNA

Raymond Felton: ROLE PLAYER

Defensive impact · 2018-19 · 33 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Raymond Felton?

The evidence

Raymond Felton · Defensive impact: 63th percentile (DBPM 0.4: defensive impact per 100 possessions compared with an average player)

63 percentilcompared against: 50 percentil (+13) · 423 players with a sample in 2018-19

Raymond Felton: what moved most is Scoring

34 percentilcompared against: 62 percentil (-28) · Raymond Felton, from 2013-14 to 2014-15

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 areROLE PLAYER
RoleShort rotation: 11.5 minutes per game across 33 games
What sets them apartDefensive impact · 63th percentile
DBPM 0.4: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 423 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring15th percentile
4.3 points per game
Playmaking49th percentile
1.6 assists per game
Outside shooting47th percentile
Defensive impact63th percentile
DBPM 0.4: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding2th percentile
1.0 rebounds per game

Limitations

Playmaking49th percentile
Average · 1.6 assists per game
Outside shooting47th percentile
Average
Scoring15th percentile
Very low · 4.3 points per game
Rebounding2th percentile
Very low · 1.0 rebounds per game
Axes without enough sample
Finishing at the rim
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 62th percentile → 15th percentile (-47) · Playmaking: 93th percentile → 49th percentile (-44) · Rebounding: 46th percentile → 2th percentile (-44)

2013-1462th percentile
65 games · 31.0 minutes per game
Scoring
62th percentile
Playmaking
93th percentile
Rebounding
46th percentile
2014-1513th percentile
29 games · 9.7 minutes per game
Scoring
13th percentile
Playmaking
50th percentile
Rebounding
3th percentile
2015-1662th percentile
80 games · 27.4 minutes per game
Scoring
62th percentile
Playmaking
85th percentile
Rebounding
47th percentile
2016-1741th percentile
80 games · 21.3 minutes per game
Scoring
41th percentile
Playmaking
73th percentile
Rebounding
35th percentile
2017-1839th percentile
82 games · 16.6 minutes per game
Scoring
39th percentile
Playmaking
70th percentile
Rebounding
15th percentile
2018-1915th percentile
33 games · 11.5 minutes per game
Scoring
15th percentile
Playmaking
49th percentile
Rebounding
2th percentile

Context

2018-19 · 33 games · 11.5 minutes per game · Percentile against 423 measured players in 2018-19 · 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 2018-19 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.