Professional DNA

Courtney Lee: PROFILE NOT COMPLETE YET

Defensive impact · 2019-20 · 24 games

percentil

Confidence: lowData through: 2019-20

The question

What kind of player is Courtney Lee?

The evidence

Courtney Lee · Defensive impact: 86th percentile (DBPM 1.5: defensive impact per 100 possessions compared with an average player)

86 percentilcompared against: 50 percentil (+36) · 405 players with a sample in 2019-20

Courtney Lee: what moved most is Playmaking

17 percentilcompared against: 65 percentil (-48) · Courtney Lee, from 2014-15 to 2018-19

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: 14.4 minutes per game across 24 games
What sets them apartDefensive impact · 86th percentile
DBPM 1.5: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 405 players with a sample in 2019-20. An axis without enough sample says «no data» and is not filled in.

Scoring14th percentile
4.5 points per game
Playmaking5th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact86th percentile
DBPM 1.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding3th percentile
1.3 rebounds per game

Strengths

Defensive impact86th percentile
Very high · DBPM 1.5: defensive impact per 100 possessions compared with an average player

Limitations

Scoring14th percentile
Very low · 4.5 points per game
Playmaking5th percentile
Very low · 0.5 assists per game
Rebounding3th percentile
Very low · 1.3 rebounds 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: 64th percentile → 14th percentile (-50) · Playmaking: 64th percentile → 5th percentile (-59) · Rebounding: 27th percentile → 3th percentile (-24)

2014-1564th percentile
77 games · 30.6 minutes per game
Scoring
64th percentile
Playmaking
64th percentile
Rebounding
27th percentile
2015-1656th percentile
79 games · 29.5 minutes per game
Scoring
62th percentile
Playmaking
56th percentile
Rebounding
33th percentile
2016-1771th percentile
77 games · 31.9 minutes per game
Scoring
70th percentile
Playmaking
71th percentile
Rebounding
52th percentile
2017-1869th percentile
76 games · 30.4 minutes per game
Scoring
70th percentile
Playmaking
69th percentile
Rebounding
38th percentile
2018-1928th percentile
34 games · 12.6 minutes per game
Scoring
12th percentile
Playmaking
28th percentile
Rebounding
9th percentile
2019-205th percentile
24 games · 14.4 minutes per game
Scoring
14th percentile
Playmaking
5th percentile
Rebounding
3th percentile

Context

2019-20 · 24 games · 14.4 minutes per game · Percentile against 405 measured players in 2019-20 · 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 2019-20 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

2026-10-12

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.