Professional DNA

Lorenzo Brown: PROFILE NOT COMPLETE YET

Defensive impact · 2018-19 · 26 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Lorenzo Brown?

The evidence

Lorenzo Brown · Defensive impact: 94th percentile (DBPM 1.9: defensive impact per 100 possessions compared with an average player)

94 percentilcompared against: 50 percentil (+44) · 423 players with a sample in 2018-19

Lorenzo Brown: what moved most is Playmaking

33 percentilcompared against: 68 percentil (-35) · Lorenzo Brown, from 2013-14 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: 8.2 minutes per game across 26 games
What sets them apartDefensive impact · 94th percentile
DBPM 1.9: 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 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring2th percentile
2.1 points per game
Playmaking28th percentile
1.1 assists per game
Outside shootingno data
no data
Defensive impact94th percentile
DBPM 1.9: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding4th percentile
1.2 rebounds per game

Strengths

Defensive impact94th percentile
Elite · DBPM 1.9: defensive impact per 100 possessions compared with an average player

Limitations

Playmaking28th percentile
Low · 1.1 assists per game
Rebounding4th percentile
Very low · 1.2 rebounds per game
Scoring2th percentile
Very low · 2.1 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: 9th percentile → 2th percentile (-7) · Playmaking: 56th percentile → 28th percentile (-28) · Rebounding: 7th percentile → 4th percentile (-3)

2013-1456th percentile
26 games · 8.6 minutes per game
Scoring
9th percentile
Playmaking
56th percentile
Rebounding
7th percentile
2014-1580th percentile
29 games · 18.9 minutes per game
Scoring
18th percentile
Playmaking
80th percentile
Rebounding
30th percentile
2015-1646th percentile
8 games · 7.6 minutes per game
Scoring
6th percentile
Playmaking
46th percentile
Rebounding
1th percentile
2017-1824th percentile
14 games · 9.9 minutes per game
Scoring
3th percentile
Playmaking
24th percentile
Rebounding
4th percentile
2018-1928th percentile
26 games · 8.2 minutes per game
Scoring
2th percentile
Playmaking
28th percentile
Rebounding
4th percentile

Context

2018-19 · 26 games · 8.2 minutes per game · Percentile against 423 measured players in 2018-19 · 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 2018-19 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.