Professional DNA

Al Jefferson: PROFILE NOT COMPLETE YET

Defensive impact · 2017-18 · 36 games

percentil

Confidence: lowData through: 2017-18

The question

What kind of player is Al Jefferson?

The evidence

Al Jefferson · Defensive impact: 88th percentile (DBPM 1.5: defensive impact per 100 possessions compared with an average player)

88 percentilcompared against: 50 percentil (+38) · 414 players with a sample in 2017-18

Al Jefferson: what moved most is Scoring

47 percentilcompared against: 89 percentil (-42) · Al Jefferson, from 2012-13 to 2016-17

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: 13.4 minutes per game across 36 games
What sets them apartDefensive impact · 88th percentile
DBPM 1.5: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 414 players with a sample in 2017-18. An axis without enough sample says «no data» and is not filled in.

Scoring41th percentile
7.0 points per game
Playmaking21th percentile
0.8 assists per game
Outside shootingno data
no data
Defensive impact88th percentile
DBPM 1.5: defensive impact per 100 possessions compared with an average player
Finishing at the rim22th percentile
58.8 % · 51 attempts
Rebounding60th percentile
4.0 rebounds per game

Strengths

Defensive impact88th percentile
Very high · DBPM 1.5: defensive impact per 100 possessions compared with an average player

Limitations

Scoring41th percentile
Average · 7.0 points per game
Finishing at the rim22th percentile
Very low · 58.8 % · 51 attempts
Playmaking21th percentile
Very low · 0.8 assists per game
Axes without enough sample
Outside shooting
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 94th percentile → 41th percentile (-53) · Playmaking: 65th percentile → 21th percentile (-44) · Rebounding: 96th percentile → 60th percentile (-36)

2012-1394th percentile
78 games · 33.1 minutes per game
Scoring
94th percentile
Playmaking
65th percentile
Rebounding
96th percentile
2013-1497th percentile
73 games · 35.0 minutes per game
Scoring
97th percentile
Playmaking
68th percentile
Rebounding
98th percentile
2014-1591th percentile
65 games · 30.6 minutes per game
Scoring
91th percentile
Playmaking
57th percentile
Rebounding
95th percentile
2015-1674th percentile
47 games · 23.3 minutes per game
Scoring
74th percentile
Playmaking
50th percentile
Rebounding
85th percentile
2016-1752th percentile
66 games · 14.1 minutes per game
Scoring
52th percentile
Playmaking
26th percentile
Rebounding
65th percentile
2017-1841th percentile
36 games · 13.4 minutes per game
Scoring
41th percentile
Playmaking
21th percentile
Rebounding
60th percentile

Context

2017-18 · 36 games · 13.4 minutes per game · Percentile against 414 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.