Professional DNA

Cartier Martin: PROFILE NOT COMPLETE YET

Defensive impact · 2014-15 · 23 games

percentil

Confidence: lowData through: 2014-15

The question

What kind of player is Cartier Martin?

The evidence

Cartier Martin · Defensive impact: 29th percentile (DBPM -0.6: defensive impact per 100 possessions compared with an average player)

29 percentilcompared against: 50 percentil (-21) · 423 players with a sample in 2014-15

Cartier Martin: what moved most is Rebounding

23 percentilcompared against: 59 percentil (-36) · Cartier Martin, from 2009-10 to 2010-11

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: 8.6 minutes per game across 23 games
What sets them apartDefensive impact · 29th percentile
DBPM -0.6: 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 2014-15. An axis without enough sample says «no data» and is not filled in.

Scoring1th percentile
1.6 points per game
Playmaking10th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact29th percentile
DBPM -0.6: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding3th percentile
0.9 rebounds per game

Limitations

Defensive impact29th percentile
Low · DBPM -0.6: defensive impact per 100 possessions compared with an average player
Playmaking10th percentile
Very low · 0.5 assists per game
Rebounding3th percentile
Very low · 0.9 rebounds per game
Scoring1th percentile
Very low · 1.6 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: 46th percentile → 1th percentile (-45) · Playmaking: 33th percentile → 10th percentile (-23) · Rebounding: 59th percentile → 3th percentile (-56)

2009-1059th percentile
18 games · 21.7 minutes per game
Scoring
46th percentile
Playmaking
33th percentile
Rebounding
59th percentile
2010-1110th percentile
52 games · 10.4 minutes per game
Scoring
19th percentile
Playmaking
5th percentile
Rebounding
10th percentile
2011-1251th percentile
17 games · 23.0 minutes per game
Scoring
59th percentile
Playmaking
21th percentile
Rebounding
51th percentile
2012-1333th percentile
41 games · 16.9 minutes per game
Scoring
42th percentile
Playmaking
14th percentile
Rebounding
33th percentile
2013-1420th percentile
59 games · 14.7 minutes per game
Scoring
35th percentile
Playmaking
20th percentile
Rebounding
20th percentile
2014-153th percentile
23 games · 8.6 minutes per game
Scoring
1th percentile
Playmaking
10th percentile
Rebounding
3th percentile

Context

2014-15 · 23 games · 8.6 minutes per game · Percentile against 423 measured players in 2014-15 · 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 2014-15 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.