Professional DNA

Sasha Pavlović: DEFENSIVE SPECIALIST

Defensive impact · 2012-13 · 39 games

percentil

Confidence: lowData through: 2012-13

The question

What kind of player is Sasha Pavlović?

The evidence

Sasha Pavlović · Defensive impact: 92th percentile (DBPM 1.6: defensive impact per 100 possessions compared with an average player)

92 percentilcompared against: 50 percentil (+42) · 406 players with a sample in 2012-13

Sasha Pavlović: what moved most is Scoring

14 percentilcompared against: 46 percentil (-32) · Sasha Pavlović, from 2007-08 to 2008-09

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 areDEFENSIVE SPECIALIST
RoleShort rotation: 13.5 minutes per game across 39 games
What sets them apartDefensive impact · 92th percentile
DBPM 1.6: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 406 players with a sample in 2012-13. An axis without enough sample says «no data» and is not filled in.

Scoring8th percentile
2.6 points per game
Playmaking27th percentile
0.8 assists per game
Outside shooting50th percentile
Defensive impact92th percentile
DBPM 1.6: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding11th percentile
1.4 rebounds per game

Strengths

Defensive impact92th percentile
Elite · DBPM 1.6: defensive impact per 100 possessions compared with an average player

Limitations

Playmaking27th percentile
Low · 0.8 assists per game
Rebounding11th percentile
Very low · 1.4 rebounds per game
Scoring8th percentile
Very low · 2.6 points per game
Axes without enough sample
Finishing at the rim
This DNA profile does not include movement or touch data.

Recent change

Scoring: 46th percentile → 8th percentile (-38) · Playmaking: 55th percentile → 27th percentile (-28) · Rebounding: 32th percentile → 11th percentile (-21)

2007-0846th percentile
51 games · 23.3 minutes per game
Scoring
46th percentile
Playmaking
55th percentile
Rebounding
32th percentile
2008-0929th percentile
66 games · 16.0 minutes per game
Scoring
29th percentile
Playmaking
40th percentile
Rebounding
21th percentile
2009-1017th percentile
71 games · 12.4 minutes per game
Scoring
17th percentile
Playmaking
30th percentile
Rebounding
14th percentile
2010-118th percentile
31 games · 11.7 minutes per game
Scoring
8th percentile
Playmaking
16th percentile
Rebounding
4th percentile
2011-129th percentile
45 games · 11.7 minutes per game
Scoring
9th percentile
Playmaking
11th percentile
Rebounding
12th percentile
2012-138th percentile
39 games · 13.5 minutes per game
Scoring
8th percentile
Playmaking
27th percentile
Rebounding
11th percentile

Context

2012-13 · 39 games · 13.5 minutes per game · Percentile against 406 measured players in 2012-13 · 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 2012-13 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

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