Professional DNA

Andrew Bogut: PROFILE NOT COMPLETE YET

Defensive impact · 2018-19 · 11 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Andrew Bogut?

The evidence

Andrew Bogut · Defensive impact: 76th percentile (DBPM 0.8: defensive impact per 100 possessions compared with an average player)

76 percentilcompared against: 50 percentil (+26) · 424 players with a sample in 2018-19

Andrew Bogut: what moved most is Scoring

6 percentilcompared against: 38 percentil (-32) · Andrew Bogut, from 2013-14 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: 12.2 minutes per game across 11 games
What sets them apartDefensive impact · 76th percentile
DBPM 0.8: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring8th percentile
3.5 points per game
Playmaking24th percentile
1.0 assists per game
Outside shootingno data
no data
Defensive impact76th percentile
DBPM 0.8: defensive impact per 100 possessions compared with an average player
Finishing at the rim74th percentile
66.7 % · 51 attempts
Rebounding74th percentile
5.0 rebounds per game

Strengths

Defensive impact76th percentile
Very high · DBPM 0.8: defensive impact per 100 possessions compared with an average player

Limitations

Playmaking24th percentile
Very low · 1.0 assists per game
Scoring8th percentile
Very low · 3.5 points per game
Axes without enough sample
Outside shooting
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 48th percentile → 8th percentile (-40) · Playmaking: 61th percentile → 24th percentile (-37) · Rebounding: 97th percentile → 74th percentile (-23)

2013-1448th percentile
67 games · 26.4 minutes per game
Scoring
48th percentile
Playmaking
61th percentile
Rebounding
97th percentile
2014-1538th percentile
67 games · 23.6 minutes per game
Scoring
38th percentile
Playmaking
76th percentile
Rebounding
94th percentile
2015-1628th percentile
70 games · 20.7 minutes per game
Scoring
28th percentile
Playmaking
70th percentile
Rebounding
88th percentile
2016-178th percentile
27 games · 21.6 minutes per game
Scoring
8th percentile
Playmaking
58th percentile
Rebounding
94th percentile
2017-181th percentile
24 games · 9.0 minutes per game
Scoring
1th percentile
Playmaking
10th percentile
Rebounding
47th percentile
2018-198th percentile
11 games · 12.2 minutes per game
Scoring
8th percentile
Playmaking
24th percentile
Rebounding
74th percentile

Context

2018-19 · 11 games · 12.2 minutes per game · Percentile against 424 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.