Professional DNA

Corey Brewer: PROFILE NOT COMPLETE YET

Defensive impact · 2019-20 · 5 games

percentil

Confidence: lowData through: 2019-20

The question

What kind of player is Corey Brewer?

The evidence

Corey Brewer · Defensive impact: 98th percentile (DBPM 2.8: defensive impact per 100 possessions compared with an average player)

98 percentilcompared against: 50 percentil (+48) · 406 players with a sample in 2019-20

Corey Brewer: what moved most is Scoring

16 percentilcompared against: 58 percentil (-42) · Corey Brewer, from 2014-15 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: 6.6 minutes per game across 5 games
What sets them apartDefensive impact · 98th percentile
DBPM 2.8: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 406 players with a sample in 2019-20. An axis without enough sample says «no data» and is not filled in.

Scoring0th percentile
1.0 points per game
Playmaking2th percentile
0.4 assists per game
Outside shootingno data
no data
Defensive impact98th percentile
DBPM 2.8: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding7th percentile
1.6 rebounds per game

Strengths

Defensive impact98th percentile
Elite · DBPM 2.8: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding7th percentile
Very low · 1.6 rebounds per game
Playmaking2th percentile
Very low · 0.4 assists per game
Scoring0th percentile
Very low · 1.0 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: 70th percentile → 0th percentile (-70) · Playmaking: 68th percentile → 2th percentile (-66) · Rebounding: 56th percentile → 7th percentile (-49)

2014-1570th percentile
80 games · 26.1 minutes per game
Scoring
70th percentile
Playmaking
68th percentile
Rebounding
56th percentile
2015-1645th percentile
82 games · 20.4 minutes per game
Scoring
45th percentile
Playmaking
45th percentile
Rebounding
28th percentile
2016-1719th percentile
82 games · 15.6 minutes per game
Scoring
19th percentile
Playmaking
42th percentile
Rebounding
19th percentile
2017-1825th percentile
72 games · 16.8 minutes per game
Scoring
25th percentile
Playmaking
24th percentile
Rebounding
21th percentile
2018-1919th percentile
31 games · 15.9 minutes per game
Scoring
19th percentile
Playmaking
39th percentile
Rebounding
27th percentile
2019-200th percentile
5 games · 6.6 minutes per game
Scoring
0th percentile
Playmaking
2th percentile
Rebounding
7th percentile

Context

2019-20 · 5 games · 6.6 minutes per game · Percentile against 406 measured players in 2019-20 · 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 2019-20 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.