Professional DNA

Jeff Withey: PROFILE NOT COMPLETE YET

Defensive impact · 2017-18 · 10 games

percentil

Confidence: lowData through: 2017-18

The question

What kind of player is Jeff Withey?

The evidence

Jeff Withey · Defensive impact: 28th percentile (DBPM -0.6: defensive impact per 100 possessions compared with an average player)

28 percentilcompared against: 50 percentil (-22) · 415 players with a sample in 2017-18

Jeff Withey: what moved most is Rebounding

28 percentilcompared against: 25 percentil (+3) · Jeff Withey, from 2013-14 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 arePROFILE NOT COMPLETE YET
RoleShort rotation: 3.9 minutes per game across 10 games
What sets them apartDefensive impact · 28th percentile
DBPM -0.6: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 415 players with a sample in 2017-18. An axis without enough sample says «no data» and is not filled in.

Scoring1th percentile
1.5 points per game
Playmaking0th percentile
0.0 assists per game
Outside shootingno data
no data
Defensive impact28th percentile
DBPM -0.6: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding3th percentile
1.0 rebounds per game

Limitations

Defensive impact28th percentile
Low · DBPM -0.6: defensive impact per 100 possessions compared with an average player
Rebounding3th percentile
Very low · 1.0 rebounds per game
Scoring1th percentile
Very low · 1.5 points per game
Playmaking0th percentile
Very low · 0.0 assists 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: 15th percentile → 1th percentile (-14) · Playmaking: 10th percentile → 0th percentile (-10) · Rebounding: 36th percentile → 3th percentile (-33)

2013-1436th percentile
58 games · 11.8 minutes per game
Scoring
15th percentile
Playmaking
10th percentile
Rebounding
36th percentile
2014-1514th percentile
37 games · 7.0 minutes per game
Scoring
6th percentile
Playmaking
4th percentile
Rebounding
14th percentile
2015-1651th percentile
51 games · 12.9 minutes per game
Scoring
20th percentile
Playmaking
5th percentile
Rebounding
51th percentile
2016-1729th percentile
51 games · 8.5 minutes per game
Scoring
8th percentile
Playmaking
0th percentile
Rebounding
29th percentile
2017-183th percentile
10 games · 3.9 minutes per game
Scoring
1th percentile
Playmaking
0th percentile
Rebounding
3th percentile

Context

2017-18 · 10 games · 3.9 minutes per game · Percentile against 415 measured players in 2017-18 · 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 2017-18 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.