Professional DNA

Kenyon Martin: PROFILE NOT COMPLETE YET

Defensive impact · 2014-15 · 11 games

percentil

Confidence: lowData through: 2014-15

The question

What kind of player is Kenyon Martin?

The evidence

Kenyon Martin · Defensive impact: 96th percentile (DBPM 2.2: defensive impact per 100 possessions compared with an average player)

96 percentilcompared against: 50 percentil (+46) · 424 players with a sample in 2014-15

Kenyon Martin: what moved most is Rebounding

13 percentilcompared against: 78 percentil (-65) · Kenyon Martin, from 2009-10 to 2014-15

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: 9.5 minutes per game across 11 games
What sets them apartDefensive impact · 96th percentile
DBPM 2.2: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2014-15. An axis without enough sample says «no data» and is not filled in.

Scoring2th percentile
1.8 points per game
Playmaking10th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact96th percentile
DBPM 2.2: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding13th percentile
1.7 rebounds per game

Strengths

Defensive impact96th percentile
Elite · DBPM 2.2: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding13th percentile
Very low · 1.7 rebounds per game
Playmaking10th percentile
Very low · 0.5 assists per game
Scoring2th percentile
Very low · 1.8 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: 70th percentile → 2th percentile (-68) · Playmaking: 62th percentile → 10th percentile (-52) · Rebounding: 96th percentile → 13th percentile (-83)

2009-1096th percentile
58 games · 34.2 minutes per game
Scoring
70th percentile
Playmaking
62th percentile
Rebounding
96th percentile
2010-1184th percentile
48 games · 25.7 minutes per game
Scoring
55th percentile
Playmaking
71th percentile
Rebounding
84th percentile
2011-1268th percentile
42 games · 22.4 minutes per game
Scoring
31th percentile
Playmaking
11th percentile
Rebounding
68th percentile
2012-1377th percentile
18 games · 23.9 minutes per game
Scoring
46th percentile
Playmaking
8th percentile
Rebounding
77th percentile
2013-1465th percentile
32 games · 19.8 minutes per game
Scoring
25th percentile
Playmaking
56th percentile
Rebounding
65th percentile
2014-1513th percentile
11 games · 9.5 minutes per game
Scoring
2th percentile
Playmaking
10th percentile
Rebounding
13th percentile

Context

2014-15 · 11 games · 9.5 minutes per game · Percentile against 424 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.