Professional DNA

Chris Andersen: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 12 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Chris Andersen?

The evidence

Chris Andersen · Defensive impact: 95th percentile (DBPM 2.2: defensive impact per 100 possessions compared with an average player)

95 percentilcompared against: 50 percentil (+45) · 414 players with a sample in 2016-17

Chris Andersen: what moved most is Rebounding

32 percentilcompared against: 69 percentil (-37) · Chris Andersen, from 2011-12 to 2016-17

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 12 games
What sets them apartDefensive impact · 95th 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 414 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 impact95th percentile
DBPM 2.2: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding32th percentile
2.6 rebounds per game

Strengths

Defensive impact95th percentile
Elite · DBPM 2.2: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding32th percentile
Low · 2.6 rebounds per game
Playmaking6th percentile
Very low · 0.4 assists per game
Scoring3th percentile
Very low · 2.3 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: 33th percentile → 3th percentile (-30) · Playmaking: 2th percentile → 6th percentile (+4) · Rebounding: 71th percentile → 32th percentile (-39)

2011-1271th percentile
32 games · 15.2 minutes per game
Scoring
33th percentile
Playmaking
2th percentile
Rebounding
71th percentile
2012-1366th percentile
42 games · 14.9 minutes per game
Scoring
28th percentile
Playmaking
8th percentile
Rebounding
66th percentile
2013-1478th percentile
72 games · 19.4 minutes per game
Scoring
43th percentile
Playmaking
4th percentile
Rebounding
78th percentile
2014-1574th percentile
60 games · 18.9 minutes per game
Scoring
29th percentile
Playmaking
19th percentile
Rebounding
74th percentile
2015-1655th percentile
27 games · 14.9 minutes per game
Scoring
17th percentile
Playmaking
5th percentile
Rebounding
55th percentile
2016-1732th percentile
12 games · 9.5 minutes per game
Scoring
3th percentile
Playmaking
6th percentile
Rebounding
32th percentile

Context

2016-17 · 12 games · 9.5 minutes per game · Percentile against 414 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

2026-11-06

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.