Professional DNA

Metta World Peace: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 25 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Metta World Peace?

The evidence

Metta World Peace · Defensive impact: 26th percentile (DBPM -0.7: defensive impact per 100 possessions compared with an average player)

26 percentilcompared against: 50 percentil (-24) · 413 players with a sample in 2016-17

Metta World Peace: what moved most is Playmaking

16 percentilcompared against: 63 percentil (-47) · Metta World Peace, from 2010-11 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: 6.4 minutes per game across 25 games
What sets them apartDefensive impact · 26th 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.

Scoring3th percentile
2.3 points per game
Playmaking6th percentile
0.4 assists per game
Outside shootingno data
no data
Defensive impact26th percentile
DBPM -0.7: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding2th percentile
0.8 rebounds per game

Limitations

Defensive impact26th percentile
Low · DBPM -0.7: defensive impact per 100 possessions compared with an average player
Playmaking6th percentile
Very low · 0.4 assists per game
Scoring3th percentile
Very low · 2.3 points per game
Rebounding2th percentile
Very low · 0.8 rebounds 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: 54th percentile → 3th percentile (-51) · Playmaking: 66th percentile → 6th percentile (-60) · Rebounding: 52th percentile → 2th percentile (-50)

2010-1166th percentile
82 games · 29.4 minutes per game
Scoring
54th percentile
Playmaking
66th percentile
Rebounding
52th percentile
2011-1269th percentile
64 games · 26.9 minutes per game
Scoring
50th percentile
Playmaking
69th percentile
Rebounding
51th percentile
2012-1353th percentile
75 games · 33.7 minutes per game
Scoring
75th percentile
Playmaking
53th percentile
Rebounding
75th percentile
2013-1420th percentile
29 games · 13.4 minutes per game
Scoring
29th percentile
Playmaking
20th percentile
Rebounding
23th percentile
2015-1623th percentile
35 games · 16.9 minutes per game
Scoring
24th percentile
Playmaking
23th percentile
Rebounding
30th percentile
2016-176th percentile
25 games · 6.4 minutes per game
Scoring
3th percentile
Playmaking
6th percentile
Rebounding
2th percentile

Context

2016-17 · 25 games · 6.4 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

2026-10-14

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.