Professional DNA

Gerald Wallace: PROFILE NOT COMPLETE YET

Defensive impact · 2014-15 · 32 games

percentil

Confidence: lowData through: 2014-15

The question

What kind of player is Gerald Wallace?

The evidence

Gerald Wallace · Defensive impact: 89th percentile (DBPM 1.4: defensive impact per 100 possessions compared with an average player)

89 percentilcompared against: 50 percentil (+39) · 423 players with a sample in 2014-15

Gerald Wallace: what moved most is Scoring

28 percentilcompared against: 87 percentil (-59) · Gerald Wallace, from 2009-10 to 2012-13

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: 8.9 minutes per game across 32 games
What sets them apartDefensive impact · 89th percentile
DBPM 1.4: 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
1.1 points per game
Playmaking4th percentile
0.3 assists per game
Outside shootingno data
no data
Defensive impact89th percentile
DBPM 1.4: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding16th percentile
1.8 rebounds per game

Strengths

Defensive impact89th percentile
Very high · DBPM 1.4: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding16th percentile
Very low · 1.8 rebounds per game
Playmaking4th percentile
Very low · 0.3 assists per game
Scoring1th percentile
Very low · 1.1 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: 92th percentile → 1th percentile (-91) · Playmaking: 66th percentile → 4th percentile (-62) · Rebounding: 97th percentile → 16th percentile (-81)

2009-1092th percentile
76 games · 41.0 minutes per game
Scoring
92th percentile
Playmaking
66th percentile
Rebounding
97th percentile
2010-1187th percentile
71 games · 37.9 minutes per game
Scoring
87th percentile
Playmaking
73th percentile
Rebounding
91th percentile
2011-1283th percentile
58 games · 35.8 minutes per game
Scoring
83th percentile
Playmaking
78th percentile
Rebounding
88th percentile
2012-1349th percentile
69 games · 30.1 minutes per game
Scoring
49th percentile
Playmaking
73th percentile
Rebounding
71th percentile
2013-1433th percentile
58 games · 24.4 minutes per game
Scoring
33th percentile
Playmaking
72th percentile
Rebounding
58th percentile
2014-151th percentile
32 games · 8.9 minutes per game
Scoring
1th percentile
Playmaking
4th percentile
Rebounding
16th percentile

Context

2014-15 · 32 games · 8.9 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

2026-11-06

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.