Professional DNA

Mike Miller: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 20 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Mike Miller?

The evidence

Mike Miller · Defensive impact: 68th percentile (DBPM 0.5: defensive impact per 100 possessions compared with an average player)

68 percentilcompared against: 50 percentil (+18) · 413 players with a sample in 2016-17

Mike Miller: what moved most is Scoring

2 percentilcompared against: 38 percentil (-36) · Mike Miller, from 2011-12 to 2014-15

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: 7.6 minutes per game across 20 games
What sets them apartDefensive impact · 68th percentile
DBPM 0.5: 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.

Scoring0th percentile
1.4 points per game
Playmaking37th percentile
1.1 assists per game
Outside shootingno data
no data
Defensive impact68th percentile
DBPM 0.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding17th percentile
1.9 rebounds per game

Limitations

Playmaking37th percentile
Low · 1.1 assists per game
Rebounding17th percentile
Very low · 1.9 rebounds per game
Scoring0th percentile
Very low · 1.4 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: 40th percentile → 0th percentile (-40) · Playmaking: 42th percentile → 37th percentile (-5) · Rebounding: 48th percentile → 17th percentile (-31)

2011-1240th percentile
39 games · 19.3 minutes per game
Scoring
40th percentile
Playmaking
42th percentile
Rebounding
48th percentile
2012-1327th percentile
59 games · 15.3 minutes per game
Scoring
27th percentile
Playmaking
58th percentile
Rebounding
39th percentile
2013-1446th percentile
82 games · 20.8 minutes per game
Scoring
46th percentile
Playmaking
56th percentile
Rebounding
34th percentile
2014-155th percentile
52 games · 13.5 minutes per game
Scoring
5th percentile
Playmaking
28th percentile
Rebounding
16th percentile
2015-161th percentile
47 games · 7.9 minutes per game
Scoring
1th percentile
Playmaking
28th percentile
Rebounding
5th percentile
2016-170th percentile
20 games · 7.6 minutes per game
Scoring
0th percentile
Playmaking
37th percentile
Rebounding
17th percentile

Context

2016-17 · 20 games · 7.6 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.