Professional DNA

Jerryd Bayless: ROLE PLAYER

Playmaking · 2018-19 · 34 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Jerryd Bayless?

The evidence

Jerryd Bayless · Playmaking: 81th percentile (3.5 assists per game)

81 percentilcompared against: 50 percentil (+31) · 423 players with a sample in 2018-19

Jerryd Bayless: what moved most is Scoring

39 percentilcompared against: 62 percentil (-23) · Jerryd Bayless, from 2013-14 to 2017-18

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: 19.3 minutes per game across 34 games
What sets them apartPlaymaking · 81th percentile
3.5 assists per game

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.

Scoring30th percentile
6.1 points per game
Playmaking81th percentile
3.5 assists per game
Outside shooting33th percentile
Defensive impact7th percentile
DBPM -1.7: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding13th percentile
1.8 rebounds per game

Strengths

Playmaking81th percentile
Very high · 3.5 assists per game

Limitations

Outside shooting33th percentile
Low
Scoring30th percentile
Low · 6.1 points per game
Rebounding13th percentile
Very low · 1.8 rebounds per game
Defensive impact7th percentile
Very low · DBPM -1.7: defensive impact per 100 possessions compared with an average player
Axes without enough sample
Finishing at the rim
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 59th percentile → 30th percentile (-29) · Playmaking: 75th percentile → 81th percentile (+6) · Rebounding: 23th percentile → 13th percentile (-10)

2013-1459th percentile
72 games · 23.4 minutes per game
Scoring
59th percentile
Playmaking
75th percentile
Rebounding
23th percentile
2014-1550th percentile
77 games · 22.3 minutes per game
Scoring
50th percentile
Playmaking
78th percentile
Rebounding
37th percentile
2015-1667th percentile
52 games · 28.9 minutes per game
Scoring
67th percentile
Playmaking
81th percentile
Rebounding
36th percentile
2016-1771th percentile
3 games · 23.7 minutes per game
Scoring
71th percentile
Playmaking
88th percentile
Rebounding
62th percentile
2017-1847th percentile
39 games · 23.7 minutes per game
Scoring
47th percentile
Playmaking
45th percentile
Rebounding
21th percentile
2018-1930th percentile
34 games · 19.3 minutes per game
Scoring
30th percentile
Playmaking
81th percentile
Rebounding
13th percentile

Context

2018-19 · 34 games · 19.3 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.