Professional DNA

Channing Frye: SHARPSHOOTER

Outside shooting · 2018-19 · 36 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Channing Frye?

The evidence

Channing Frye · Outside shooting: 94th percentile

94 percentilcompared against: 50 percentil (+44) · 423 players with a sample in 2018-19

Channing Frye: what moved most is Rebounding

17 percentilcompared against: 61 percentil (-44) · Channing Frye, from 2013-14 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 areSHARPSHOOTER
RoleShort rotation: 9.5 minutes per game across 36 games
What sets them apartOutside shooting · 94th percentile

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.

Scoring9th percentile
3.6 points per game
Playmaking10th percentile
0.6 assists per game
Outside shooting94th percentile
Defensive impact6th percentile
DBPM -1.8: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding5th percentile
1.4 rebounds per game

Strengths

Outside shooting94th percentile
Elite ·

Limitations

Playmaking10th percentile
Very low · 0.6 assists per game
Scoring9th percentile
Very low · 3.6 points per game
Defensive impact6th percentile
Very low · DBPM -1.8: defensive impact per 100 possessions compared with an average player
Rebounding5th percentile
Very low · 1.4 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: 69th percentile → 9th percentile (-60) · Playmaking: 47th percentile → 10th percentile (-37) · Rebounding: 76th percentile → 5th percentile (-71)

2013-1476th percentile
82 games · 28.2 minutes per game
Scoring
69th percentile
Playmaking
47th percentile
Rebounding
76th percentile
2014-1559th percentile
75 games · 24.9 minutes per game
Scoring
46th percentile
Playmaking
47th percentile
Rebounding
59th percentile
2015-1649th percentile
70 games · 17.1 minutes per game
Scoring
35th percentile
Playmaking
32th percentile
Rebounding
49th percentile
2016-1761th percentile
74 games · 18.9 minutes per game
Scoring
58th percentile
Playmaking
14th percentile
Rebounding
61th percentile
2017-1829th percentile
53 games · 13.1 minutes per game
Scoring
23th percentile
Playmaking
16th percentile
Rebounding
29th percentile
2018-195th percentile
36 games · 9.5 minutes per game
Scoring
9th percentile
Playmaking
10th percentile
Rebounding
5th percentile

Context

2018-19 · 36 games · 9.5 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.