Professional DNA

Jeff Taylor: PROFILE NOT COMPLETE YET

Defensive impact · 2014-15 · 29 games

percentil

Confidence: lowData through: 2014-15

The question

What kind of player is Jeff Taylor?

The evidence

Jeff Taylor · Defensive impact: 29th percentile (DBPM -0.6: defensive impact per 100 possessions compared with an average player)

29 percentilcompared against: 50 percentil (-21) · 423 players with a sample in 2014-15

Jeff Taylor: what moved most is Scoring

20 percentilcompared against: 45 percentil (-25) · Jeff Taylor, from 2012-13 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: 14.8 minutes per game across 29 games
What sets them apartDefensive impact · 29th 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 423 players with a sample in 2014-15. An axis without enough sample says «no data» and is not filled in.

Scoring20th percentile
4.4 points per game
Playmaking23th percentile
0.8 assists per game
Outside shootingno data
no data
Defensive impact29th percentile
DBPM -0.6: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding16th percentile
1.8 rebounds per game

Limitations

Defensive impact29th percentile
Low · DBPM -0.6: defensive impact per 100 possessions compared with an average player
Playmaking23th percentile
Very low · 0.8 assists per game
Scoring20th percentile
Very low · 4.4 points per game
Rebounding16th percentile
Very low · 1.8 rebounds 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: 38th percentile → 20th percentile (-18) · Playmaking: 27th percentile → 23th percentile (-4) · Rebounding: 20th percentile → 16th percentile (-4)

2012-1338th percentile
77 games · 19.6 minutes per game
Scoring
38th percentile
Playmaking
27th percentile
Rebounding
20th percentile
2013-1451th percentile
26 games · 24.2 minutes per game
Scoring
51th percentile
Playmaking
27th percentile
Rebounding
29th percentile
2014-1520th percentile
29 games · 14.8 minutes per game
Scoring
20th percentile
Playmaking
23th percentile
Rebounding
16th percentile

Context

2014-15 · 29 games · 14.8 minutes per game · Percentile against 423 measured players in 2014-15 · 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 2014-15 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

2026-10-12

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.