Professional DNA

Alexis Ajinça: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 39 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Alexis Ajinça?

The evidence

Alexis Ajinça · Defensive impact: 73th percentile (DBPM 0.7: defensive impact per 100 possessions compared with an average player)

73 percentilcompared against: 50 percentil (+23) · 413 players with a sample in 2016-17

Alexis Ajinça: what moved most is Rebounding

70 percentilcompared against: 15 percentil (+55) · Alexis Ajinça, from 2009-10 to 2013-14

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: 15.0 minutes per game across 39 games
What sets them apartDefensive impact · 73th percentile
DBPM 0.7: 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.

Scoring27th percentile
5.3 points per game
Playmaking3th percentile
0.3 assists per game
Outside shootingno data
no data
Defensive impact73th percentile
DBPM 0.7: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding68th percentile
4.5 rebounds per game

Limitations

Scoring27th percentile
Low · 5.3 points per game
Playmaking3th percentile
Very low · 0.3 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: 3th percentile → 27th percentile (+24) · Playmaking: 0th percentile → 3th percentile (+3) · Rebounding: 1th percentile → 68th percentile (+67)

2009-101th percentile
6 games · 5.0 minutes per game
Scoring
3th percentile
Playmaking
0th percentile
Rebounding
1th percentile
2010-1128th percentile
34 games · 10.0 minutes per game
Scoring
21th percentile
Playmaking
5th percentile
Rebounding
28th percentile
2013-1474th percentile
56 games · 17.0 minutes per game
Scoring
37th percentile
Playmaking
23th percentile
Rebounding
74th percentile
2014-1568th percentile
68 games · 14.1 minutes per game
Scoring
41th percentile
Playmaking
19th percentile
Rebounding
68th percentile
2015-1670th percentile
59 games · 14.6 minutes per game
Scoring
34th percentile
Playmaking
11th percentile
Rebounding
70th percentile
2016-1768th percentile
39 games · 15.0 minutes per game
Scoring
27th percentile
Playmaking
3th percentile
Rebounding
68th percentile

Context

2016-17 · 39 games · 15.0 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.