Professional DNA

Michael Beasley: PROFILE NOT COMPLETE YET

Finishing at the rim · 2018-19 · 26 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Michael Beasley?

The evidence

Michael Beasley · Finishing at the rim: 93th percentile (73.0 % · 63 attempts)

93 percentilcompared against: 50 percentil (+43) · 423 players with a sample in 2018-19

Michael Beasley: what moved most is Rebounding

23 percentilcompared against: 62 percentil (-39) · Michael Beasley, from 2013-14 to 2018-19

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: 10.7 minutes per game across 26 games
What sets them apartFinishing at the rim · 93th percentile
73.0 % · 63 attempts

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.

Scoring39th percentile
7.0 points per game
Playmaking24th percentile
1.0 assists per game
Outside shootingno data
no data
Defensive impact67th percentile
DBPM 0.5: defensive impact per 100 possessions compared with an average player
Finishing at the rim93th percentile
73.0 % · 63 attempts
Rebounding23th percentile
2.3 rebounds per game

Strengths

Finishing at the rim93th percentile
Elite · 73.0 % · 63 attempts

Limitations

Scoring39th percentile
Low · 7.0 points per game
Playmaking24th percentile
Very low · 1.0 assists per game
Rebounding23th percentile
Very low · 2.3 rebounds per game
Axes without enough sample
Outside shooting
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 50th percentile → 39th percentile (-11) · Playmaking: 27th percentile → 24th percentile (-3) · Rebounding: 47th percentile → 23th percentile (-24)

2013-1447th percentile
55 games · 15.1 minutes per game
Scoring
50th percentile
Playmaking
27th percentile
Rebounding
47th percentile
2014-1556th percentile
24 games · 21.0 minutes per game
Scoring
57th percentile
Playmaking
47th percentile
Rebounding
56th percentile
2015-1673th percentile
20 games · 18.2 minutes per game
Scoring
78th percentile
Playmaking
23th percentile
Rebounding
73th percentile
2016-1752th percentile
56 games · 16.7 minutes per game
Scoring
61th percentile
Playmaking
26th percentile
Rebounding
52th percentile
2017-1881th percentile
74 games · 22.3 minutes per game
Scoring
77th percentile
Playmaking
54th percentile
Rebounding
81th percentile
2018-1923th percentile
26 games · 10.7 minutes per game
Scoring
39th percentile
Playmaking
24th percentile
Rebounding
23th percentile

Context

2018-19 · 26 games · 10.7 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.