Professional DNA

Zaza Pachulia: PROFILE NOT COMPLETE YET

Defensive impact · 2018-19 · 68 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Zaza Pachulia?

The evidence

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

92 percentilcompared against: 50 percentil (+42) · 423 players with a sample in 2018-19

Zaza Pachulia: what moved most is Scoring

24 percentilcompared against: 53 percentil (-29) · Zaza Pachulia, 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: 12.9 minutes per game across 68 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 423 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring11th percentile
3.9 points per game
Playmaking39th percentile
1.3 assists per game
Outside shootingno data
no data
Defensive impact92th percentile
DBPM 1.6: defensive impact per 100 possessions compared with an average player
Finishing at the rim11th percentile
54.5 % · 99 attempts
Rebounding57th percentile
3.9 rebounds per game

Strengths

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

Limitations

Playmaking39th percentile
Low · 1.3 assists per game
Scoring11th percentile
Very low · 3.9 points per game
Finishing at the rim11th percentile
Very low · 54.5 % · 99 attempts
Axes without enough sample
Outside shooting
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 50th percentile → 11th percentile (-39) · Playmaking: 73th percentile → 39th percentile (-34) · Rebounding: 85th percentile → 57th percentile (-28)

2013-1450th percentile
53 games · 25.0 minutes per game
Scoring
50th percentile
Playmaking
73th percentile
Rebounding
85th percentile
2014-1554th percentile
73 games · 23.7 minutes per game
Scoring
54th percentile
Playmaking
72th percentile
Rebounding
89th percentile
2015-1655th percentile
76 games · 26.4 minutes per game
Scoring
55th percentile
Playmaking
56th percentile
Rebounding
97th percentile
2016-1734th percentile
70 games · 18.1 minutes per game
Scoring
34th percentile
Playmaking
61th percentile
Rebounding
82th percentile
2017-1826th percentile
69 games · 14.1 minutes per game
Scoring
26th percentile
Playmaking
50th percentile
Rebounding
71th percentile
2018-1911th percentile
68 games · 12.9 minutes per game
Scoring
11th percentile
Playmaking
39th percentile
Rebounding
57th percentile

Context

2018-19 · 68 games · 12.9 minutes per game · Percentile against 423 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.