Professional DNA

Alonzo Gee: PROFILE NOT COMPLETE YET

Defensive impact · 2016-17 · 13 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Alonzo Gee?

The evidence

Alonzo Gee · Defensive impact: 73th percentile (DBPM 0.7: defensive impact per 100 possessions compared with an average player)

73 percentilcompared against: 50 percentil (+23) · 414 players with a sample in 2016-17

Alonzo Gee: what moved most is Rebounding

7 percentilcompared against: 47 percentil (-40) · Alonzo Gee, 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: 6.8 minutes per game across 13 games
What sets them apartDefensive impact · 73th percentile
DBPM 0.7: 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.

Scoring0th percentile
0.8 points per game
Playmaking9th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact73th percentile
DBPM 0.7: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding7th percentile
1.2 rebounds per game

Limitations

Playmaking9th percentile
Very low · 0.5 assists per game
Rebounding7th percentile
Very low · 1.2 rebounds per game
Scoring0th percentile
Very low · 0.8 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: 67th percentile → 0th percentile (-67) · Playmaking: 59th percentile → 9th percentile (-50) · Rebounding: 77th percentile → 7th percentile (-70)

2011-1277th percentile
63 games · 29.0 minutes per game
Scoring
67th percentile
Playmaking
59th percentile
Rebounding
77th percentile
2012-1362th percentile
82 games · 31.0 minutes per game
Scoring
64th percentile
Playmaking
56th percentile
Rebounding
62th percentile
2013-1429th percentile
65 games · 15.7 minutes per game
Scoring
22th percentile
Playmaking
23th percentile
Rebounding
29th percentile
2014-1514th percentile
54 games · 12.3 minutes per game
Scoring
22th percentile
Playmaking
10th percentile
Rebounding
14th percentile
2015-1651th percentile
73 games · 22.4 minutes per game
Scoring
22th percentile
Playmaking
32th percentile
Rebounding
51th percentile
2016-177th percentile
13 games · 6.8 minutes per game
Scoring
0th percentile
Playmaking
9th percentile
Rebounding
7th percentile

Context

2016-17 · 13 games · 6.8 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

2026-10-14

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.