Professional DNA

Jimmer Fredette: PROFILE NOT COMPLETE YET

Playmaking · 2018-19 · 6 games

percentil

Confidence: lowData through: 2018-19

The question

What kind of player is Jimmer Fredette?

The evidence

Jimmer Fredette · Playmaking: 39th percentile (1.3 assists per game)

39 percentilcompared against: 50 percentil (-11) · 424 players with a sample in 2018-19

Jimmer Fredette: what moved most is Scoring

8 percentilcompared against: 43 percentil (-35) · Jimmer Fredette, from 2011-12 to 2014-15

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 6 games
What sets them apartPlaymaking · 39th percentile
1.3 assists per game

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.

Scoring9th percentile
3.7 points per game
Playmaking39th percentile
1.3 assists per game
Outside shootingno data
no data
Defensive impact0th percentile
DBPM -2.9: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding4th percentile
1.2 rebounds per game

Limitations

Playmaking39th percentile
Low · 1.3 assists per game
Scoring9th percentile
Very low · 3.7 points per game
Rebounding4th percentile
Very low · 1.2 rebounds per game
Defensive impact0th percentile
Very low · DBPM -2.9: defensive impact per 100 possessions compared with an average player
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: 49th percentile → 9th percentile (-40) · Playmaking: 59th percentile → 39th percentile (-20) · Rebounding: 5th percentile → 4th percentile (-1)

2011-1249th percentile
61 games · 18.6 minutes per game
Scoring
49th percentile
Playmaking
59th percentile
Rebounding
5th percentile
2012-1346th percentile
69 games · 14.0 minutes per game
Scoring
46th percentile
Playmaking
47th percentile
Rebounding
4th percentile
2013-1435th percentile
49 games · 10.6 minutes per game
Scoring
35th percentile
Playmaking
49th percentile
Rebounding
7th percentile
2014-1513th percentile
50 games · 10.2 minutes per game
Scoring
13th percentile
Playmaking
42th percentile
Rebounding
2th percentile
2015-161th percentile
6 games · 3.0 minutes per game
Scoring
1th percentile
Playmaking
1th percentile
Rebounding
0th percentile
2018-199th percentile
6 games · 10.8 minutes per game
Scoring
9th percentile
Playmaking
39th percentile
Rebounding
4th percentile

Context

2018-19 · 6 games · 10.8 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.