Professional DNA

C.J. Watson: ROLE PLAYER

Defensive impact · 2016-17 · 62 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is C.J. Watson?

The evidence

C.J. Watson · Defensive impact: 59th percentile (DBPM 0.2: defensive impact per 100 possessions compared with an average player)

59 percentilcompared against: 50 percentil (+9) · 413 players with a sample in 2016-17

C.J. Watson: what moved most is Scoring

20 percentilcompared against: 53 percentil (-33) · C.J. Watson, 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 areROLE PLAYER
RoleShort rotation: 16.3 minutes per game across 62 games
What sets them apartDefensive impact · 59th percentile
DBPM 0.2: 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.

Scoring19th percentile
4.5 points per game
Playmaking58th percentile
1.8 assists per game
Outside shooting41th percentile
Defensive impact59th percentile
DBPM 0.2: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding8th percentile
1.4 rebounds per game

Limitations

Outside shooting41th percentile
Average
Scoring19th percentile
Very low · 4.5 points per game
Rebounding8th 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: 62th percentile → 19th percentile (-43) · Playmaking: 88th percentile → 58th percentile (-30) · Rebounding: 23th percentile → 8th percentile (-15)

2011-1262th percentile
49 games · 23.7 minutes per game
Scoring
62th percentile
Playmaking
88th percentile
Rebounding
23th percentile
2012-1343th percentile
80 games · 19.0 minutes per game
Scoring
43th percentile
Playmaking
64th percentile
Rebounding
18th percentile
2013-1443th percentile
63 games · 18.9 minutes per game
Scoring
43th percentile
Playmaking
61th percentile
Rebounding
15th percentile
2014-1563th percentile
57 games · 24.9 minutes per game
Scoring
63th percentile
Playmaking
85th percentile
Rebounding
41th percentile
2015-1620th percentile
33 games · 19.9 minutes per game
Scoring
20th percentile
Playmaking
77th percentile
Rebounding
20th percentile
2016-1719th percentile
62 games · 16.3 minutes per game
Scoring
19th percentile
Playmaking
58th percentile
Rebounding
8th percentile

Context

2016-17 · 62 games · 16.3 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.