Professional DNA

Jodie Meeks: PROFILE NOT COMPLETE YET

Scoring · 2018-19 · 8 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Jodie Meeks?

The evidence

Jodie Meeks · Scoring: 33th percentile (6.4 points per game)

33 percentilcompared against: 50 percentil (-17) · 424 players with a sample in 2018-19

Jodie Meeks: what moved most is Scoring

34 percentilcompared against: 65 percentil (-31) · Jodie Meeks, from 2013-14 to 2017-18

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: 13.0 minutes per game across 8 games
What sets them apartScoring · 33th percentile
6.4 points per game

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring33th percentile
6.4 points per game
Playmaking24th percentile
1.0 assists per game
Outside shootingno data
no data
Defensive impact22th percentile
DBPM -0.8: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding7th percentile
1.5 rebounds per game

Limitations

Scoring33th percentile
Low · 6.4 points per game
Playmaking24th percentile
Very low · 1.0 assists per game
Defensive impact22th percentile
Very low · DBPM -0.8: defensive impact per 100 possessions compared with an average player
Rebounding7th percentile
Very low · 1.5 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: 86th percentile → 33th percentile (-53) · Playmaking: 64th percentile → 24th percentile (-40) · Rebounding: 34th percentile → 7th percentile (-27)

2013-1486th percentile
77 games · 33.2 minutes per game
Scoring
86th percentile
Playmaking
64th percentile
Rebounding
34th percentile
2014-1569th percentile
60 games · 24.4 minutes per game
Scoring
69th percentile
Playmaking
47th percentile
Rebounding
14th percentile
2015-1647th percentile
3 games · 14.3 minutes per game
Scoring
47th percentile
Playmaking
32th percentile
Rebounding
13th percentile
2016-1758th percentile
36 games · 20.5 minutes per game
Scoring
58th percentile
Playmaking
46th percentile
Rebounding
20th percentile
2017-1834th percentile
77 games · 14.5 minutes per game
Scoring
34th percentile
Playmaking
24th percentile
Rebounding
9th percentile
2018-1933th percentile
8 games · 13.0 minutes per game
Scoring
33th percentile
Playmaking
24th percentile
Rebounding
7th percentile

Context

2018-19 · 8 games · 13.0 minutes per game · Percentile against 424 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.