Professional DNA

Chris Kaman: PROFILE NOT COMPLETE YET

Playmaking · 2015-16 · 16 games

percentil

Confidence: lowData through: 2015-16

The question

What kind of player is Chris Kaman?

The evidence

Chris Kaman · Playmaking: 19th percentile (0.7 assists per game)

19 percentilcompared against: 50 percentil (-31) · 415 players with a sample in 2015-16

Chris Kaman: what moved most is Rebounding

9 percentilcompared against: 85 percentil (-76) · Chris Kaman, from 2010-11 to 2015-16

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: 7.0 minutes per game across 16 games
What sets them apartPlaymaking · 19th percentile
0.7 assists per game

The axes, one by one

Every axis with its percentile against 415 players with a sample in 2015-16. An axis without enough sample says «no data» and is not filled in.

Scoring8th percentile
2.8 points per game
Playmaking19th percentile
0.7 assists per game
Outside shootingno data
no data
Defensive impact18th percentile
DBPM -1.0: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding9th percentile
1.5 rebounds per game

Limitations

Playmaking19th percentile
Very low · 0.7 assists per game
Defensive impact18th percentile
Very low · DBPM -1.0: defensive impact per 100 possessions compared with an average player
Rebounding9th percentile
Very low · 1.5 rebounds per game
Scoring8th percentile
Very low · 2.8 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: 75th percentile → 8th percentile (-67) · Playmaking: 51th percentile → 19th percentile (-32) · Rebounding: 87th percentile → 9th percentile (-78)

2010-1187th percentile
32 games · 26.2 minutes per game
Scoring
75th percentile
Playmaking
51th percentile
Rebounding
87th percentile
2011-1291th percentile
47 games · 29.2 minutes per game
Scoring
81th percentile
Playmaking
66th percentile
Rebounding
91th percentile
2012-1380th percentile
66 games · 20.7 minutes per game
Scoring
66th percentile
Playmaking
27th percentile
Rebounding
80th percentile
2013-1482th percentile
39 games · 18.9 minutes per game
Scoring
66th percentile
Playmaking
53th percentile
Rebounding
82th percentile
2014-1586th percentile
74 games · 18.9 minutes per game
Scoring
55th percentile
Playmaking
28th percentile
Rebounding
86th percentile
2015-169th percentile
16 games · 7.0 minutes per game
Scoring
8th percentile
Playmaking
19th percentile
Rebounding
9th percentile

Context

2015-16 · 16 games · 7.0 minutes per game · Percentile against 415 measured players in 2015-16 · 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 2015-16 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.