Professional DNA

J.J. Barea: ROLE PLAYER

Playmaking · 2019-20 · 29 games

percentil

Confidence: lowData through: 2019-20

The question

What kind of player is J.J. Barea?

The evidence

J.J. Barea · Playmaking: 83th percentile (3.9 assists per game)

83 percentilcompared against: 50 percentil (+33) · 405 players with a sample in 2019-20

J.J. Barea: what moved most is Scoring

63 percentilcompared against: 48 percentil (+15) · J.J. Barea, from 2014-15 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 areROLE PLAYER
RoleShort rotation: 15.5 minutes per game across 29 games
What sets them apartPlaymaking · 83th percentile
3.9 assists per game

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.

Scoring44th percentile
7.7 points per game
Playmaking83th percentile
3.9 assists per game
Outside shooting76th percentile
Defensive impact0th percentile
DBPM -3.0: defensive impact per 100 possessions compared with an average player
Finishing at the rim20th percentile
57.9 % · 57 attempts
Rebounding10th percentile
1.8 rebounds per game

Strengths

Playmaking83th percentile
Very high · 3.9 assists per game
Outside shooting76th percentile
Very high ·

Limitations

Scoring44th percentile
Average · 7.7 points per game
Finishing at the rim20th percentile
Very low · 57.9 % · 57 attempts
Rebounding10th percentile
Very low · 1.8 rebounds per game
Defensive impact0th percentile
Very low · DBPM -3.0: defensive impact per 100 possessions compared with an average player
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 48th percentile → 44th percentile (-4) · Playmaking: 83th percentile → 83th percentile (0) · Rebounding: 14th percentile → 10th percentile (-4)

2014-1548th percentile
77 games · 17.7 minutes per game
Scoring
48th percentile
Playmaking
83th percentile
Rebounding
14th percentile
2015-1669th percentile
74 games · 22.5 minutes per game
Scoring
69th percentile
Playmaking
88th percentile
Rebounding
22th percentile
2016-1771th percentile
35 games · 22.0 minutes per game
Scoring
71th percentile
Playmaking
94th percentile
Rebounding
29th percentile
2017-1868th percentile
69 games · 23.2 minutes per game
Scoring
68th percentile
Playmaking
97th percentile
Rebounding
38th percentile
2018-1965th percentile
38 games · 19.8 minutes per game
Scoring
65th percentile
Playmaking
93th percentile
Rebounding
27th percentile
2019-2044th percentile
29 games · 15.5 minutes per game
Scoring
44th percentile
Playmaking
83th percentile
Rebounding
10th percentile

Context

2019-20 · 29 games · 15.5 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.