Professional DNA

Quincy Acy: PROFILE NOT COMPLETE YET

Defensive impact · 2018-19 · 10 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Quincy Acy?

The evidence

Quincy Acy · Defensive impact: 34th percentile (DBPM -0.5: defensive impact per 100 possessions compared with an average player)

34 percentilcompared against: 50 percentil (-16) · 424 players with a sample in 2018-19

Quincy Acy: what moved most is Rebounding

27 percentilcompared against: 52 percentil (-25) · Quincy Acy, from 2013-14 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: 12.3 minutes per game across 10 games
What sets them apartDefensive impact · 34th percentile
DBPM -0.5: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 424 players with a sample in 2018-19. An axis without enough sample says «no data» and is not filled in.

Scoring1th percentile
1.7 points per game
Playmaking17th percentile
0.8 assists per game
Outside shootingno data
no data
Defensive impact34th percentile
DBPM -0.5: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding27th percentile
2.5 rebounds per game

Limitations

Defensive impact34th percentile
Low · DBPM -0.5: defensive impact per 100 possessions compared with an average player
Rebounding27th percentile
Low · 2.5 rebounds per game
Playmaking17th percentile
Very low · 0.8 assists per game
Scoring1th percentile
Very low · 1.7 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: 10th percentile → 1th percentile (-9) · Playmaking: 10th percentile → 17th percentile (+7) · Rebounding: 52th percentile → 27th percentile (-25)

2013-1452th percentile
63 games · 13.4 minutes per game
Scoring
10th percentile
Playmaking
10th percentile
Rebounding
52th percentile
2014-1566th percentile
68 games · 18.9 minutes per game
Scoring
34th percentile
Playmaking
35th percentile
Rebounding
66th percentile
2015-1647th percentile
59 games · 14.8 minutes per game
Scoring
27th percentile
Playmaking
11th percentile
Rebounding
47th percentile
2016-1742th percentile
38 games · 14.7 minutes per game
Scoring
32th percentile
Playmaking
9th percentile
Rebounding
42th percentile
2017-1854th percentile
70 games · 19.4 minutes per game
Scoring
31th percentile
Playmaking
21th percentile
Rebounding
54th percentile
2018-1927th percentile
10 games · 12.3 minutes per game
Scoring
1th percentile
Playmaking
17th percentile
Rebounding
27th percentile

Context

2018-19 · 10 games · 12.3 minutes per game · Percentile against 424 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

2026-10-14

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.