Professional DNA

Ömer Aşık: PROFILE NOT COMPLETE YET

Rebounding · 2017-18 · 18 games

percentil

Confidence: lowData through: 2017-18

The question

What kind of player is Ömer Aşık?

The evidence

Ömer Aşık · Rebounding: 32th percentile (2.6 rebounds per game)

32 percentilcompared against: 50 percentil (-18) · 415 players with a sample in 2017-18

Ömer Aşık: what moved most is Rebounding

32 percentilcompared against: 90 percentil (-58) · Ömer Aşık, from 2012-13 to 2017-18

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: 10.1 minutes per game across 18 games
What sets them apartRebounding · 32th percentile
2.6 rebounds per game

The axes, one by one

Every axis with its percentile against 415 players with a sample in 2017-18. An axis without enough sample says «no data» and is not filled in.

Scoring1th percentile
1.2 points per game
Playmaking1th percentile
0.2 assists per game
Outside shootingno data
no data
Defensive impact5th percentile
DBPM -1.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding32th percentile
2.6 rebounds per game

Limitations

Rebounding32th percentile
Low · 2.6 rebounds per game
Defensive impact5th percentile
Very low · DBPM -1.5: defensive impact per 100 possessions compared with an average player
Scoring1th percentile
Very low · 1.2 points per game
Playmaking1th percentile
Very low · 0.2 assists 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: 63th percentile → 1th percentile (-62) · Playmaking: 33th percentile → 1th percentile (-32) · Rebounding: 99th percentile → 32th percentile (-67)

2012-1399th percentile
82 games · 30.0 minutes per game
Scoring
63th percentile
Playmaking
33th percentile
Rebounding
99th percentile
2013-1492th percentile
48 games · 20.2 minutes per game
Scoring
37th percentile
Playmaking
15th percentile
Rebounding
92th percentile
2014-1597th percentile
76 games · 26.1 minutes per game
Scoring
46th percentile
Playmaking
28th percentile
Rebounding
97th percentile
2015-1683th percentile
68 games · 17.3 minutes per game
Scoring
17th percentile
Playmaking
5th percentile
Rebounding
83th percentile
2016-1777th percentile
31 games · 15.5 minutes per game
Scoring
6th percentile
Playmaking
9th percentile
Rebounding
77th percentile
2017-1832th percentile
18 games · 10.1 minutes per game
Scoring
1th percentile
Playmaking
1th percentile
Rebounding
32th percentile

Context

2017-18 · 18 games · 10.1 minutes per game · Percentile against 415 measured players in 2017-18 · 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 2017-18 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.