Professional DNA

Chandler Parsons: PROFILE NOT COMPLETE YET

Playmaking · 2019-20 · 5 games

percentil

Confidence: lowData through: 2019-20

The question

What kind of player is Chandler Parsons?

The evidence

Chandler Parsons · Playmaking: 8th percentile (0.6 assists per game)

8 percentilcompared against: 50 percentil (-42) · 406 players with a sample in 2019-20

Chandler Parsons: what moved most is Scoring

33 percentilcompared against: 84 percentil (-51) · Chandler Parsons, from 2014-15 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: 10.8 minutes per game across 5 games
What sets them apartPlaymaking · 8th percentile
0.6 assists per game

The axes, one by one

Every axis with its percentile against 406 players with a sample in 2019-20. An axis without enough sample says «no data» and is not filled in.

Scoring4th percentile
2.8 points per game
Playmaking8th percentile
0.6 assists per game
Outside shootingno data
no data
Defensive impact6th percentile
DBPM -1.6: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding5th percentile
1.4 rebounds per game

Limitations

Playmaking8th percentile
Very low · 0.6 assists per game
Defensive impact6th percentile
Very low · DBPM -1.6: defensive impact per 100 possessions compared with an average player
Rebounding5th percentile
Very low · 1.4 rebounds per game
Scoring4th percentile
Very low · 2.8 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: 87th percentile → 4th percentile (-83) · Playmaking: 72th percentile → 8th percentile (-64) · Rebounding: 72th percentile → 5th percentile (-67)

2014-1587th percentile
66 games · 33.1 minutes per game
Scoring
87th percentile
Playmaking
72th percentile
Rebounding
72th percentile
2015-1680th percentile
61 games · 29.5 minutes per game
Scoring
80th percentile
Playmaking
78th percentile
Rebounding
71th percentile
2016-1735th percentile
34 games · 19.9 minutes per game
Scoring
35th percentile
Playmaking
54th percentile
Rebounding
31th percentile
2017-1847th percentile
36 games · 19.2 minutes per game
Scoring
47th percentile
Playmaking
58th percentile
Rebounding
29th percentile
2018-1944th percentile
25 games · 19.8 minutes per game
Scoring
44th percentile
Playmaking
52th percentile
Rebounding
34th percentile
2019-204th percentile
5 games · 10.8 minutes per game
Scoring
4th percentile
Playmaking
8th percentile
Rebounding
5th percentile

Context

2019-20 · 5 games · 10.8 minutes per game · Percentile against 406 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

2026-10-13

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.