Professional DNA

Pau Gasol: PROFILE NOT COMPLETE YET

Defensive impact · 2018-19 · 30 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Pau Gasol?

The evidence

Pau Gasol · Defensive impact: 95th percentile (DBPM 2.1: defensive impact per 100 possessions compared with an average player)

95 percentilcompared against: 50 percentil (+45) · 423 players with a sample in 2018-19

Pau Gasol: what moved most is Scoring

11 percentilcompared against: 82 percentil (-71) · Pau Gasol, from 2013-14 to 2018-19

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: 12.0 minutes per game across 30 games
What sets them apartDefensive impact · 95th percentile
DBPM 2.1: 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
Playmaking52th percentile
1.7 assists per game
Outside shootingno data
no data
Defensive impact95th percentile
DBPM 2.1: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding68th percentile
4.6 rebounds per game

Strengths

Defensive impact95th percentile
Elite · DBPM 2.1: defensive impact per 100 possessions compared with an average player

Limitations

Scoring11th percentile
Very low · 3.9 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: 90th percentile → 11th percentile (-79) · Playmaking: 83th percentile → 52th percentile (-31) · Rebounding: 97th percentile → 68th percentile (-29)

2013-1490th percentile
60 games · 31.4 minutes per game
Scoring
90th percentile
Playmaking
83th percentile
Rebounding
97th percentile
2014-1594th percentile
78 games · 34.4 minutes per game
Scoring
94th percentile
Playmaking
76th percentile
Rebounding
99th percentile
2015-1689th percentile
72 games · 31.8 minutes per game
Scoring
89th percentile
Playmaking
88th percentile
Rebounding
99th percentile
2016-1775th percentile
64 games · 25.4 minutes per game
Scoring
75th percentile
Playmaking
71th percentile
Rebounding
93th percentile
2017-1861th percentile
77 games · 23.5 minutes per game
Scoring
61th percentile
Playmaking
78th percentile
Rebounding
94th percentile
2018-1911th percentile
30 games · 12.0 minutes per game
Scoring
11th percentile
Playmaking
52th percentile
Rebounding
68th percentile

Context

2018-19 · 30 games · 12.0 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.