Professional DNA

Jason Thompson: PROFILE NOT COMPLETE YET

Defensive impact · 2015-16 · 47 games

percentil

Confidence: lowData through: 2015-16

The question

What kind of player is Jason Thompson?

The evidence

Jason Thompson · Defensive impact: 85th percentile (DBPM 1.2: defensive impact per 100 possessions compared with an average player)

85 percentilcompared against: 50 percentil (+35) · 414 players with a sample in 2015-16

Jason Thompson: what moved most is Scoring

10 percentilcompared against: 53 percentil (-43) · Jason Thompson, from 2010-11 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: 10.0 minutes per game across 47 games
What sets them apartDefensive impact · 85th percentile
DBPM 1.2: 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 2015-16. An axis without enough sample says «no data» and is not filled in.

Scoring10th percentile
3.1 points per game
Playmaking14th percentile
0.6 assists per game
Outside shootingno data
no data
Defensive impact85th percentile
DBPM 1.2: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding40th percentile
2.9 rebounds per game

Strengths

Defensive impact85th percentile
Very high · DBPM 1.2: defensive impact per 100 possessions compared with an average player

Limitations

Rebounding40th percentile
Average · 2.9 rebounds per game
Playmaking14th percentile
Very low · 0.6 assists per game
Scoring10th percentile
Very low · 3.1 points 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: 56th percentile → 10th percentile (-46) · Playmaking: 43th percentile → 14th percentile (-29) · Rebounding: 84th percentile → 40th percentile (-44)

2010-1156th percentile
75 games · 23.3 minutes per game
Scoring
56th percentile
Playmaking
43th percentile
Rebounding
84th percentile
2011-1257th percentile
64 games · 25.9 minutes per game
Scoring
57th percentile
Playmaking
45th percentile
Rebounding
89th percentile
2012-1369th percentile
82 games · 27.9 minutes per game
Scoring
69th percentile
Playmaking
38th percentile
Rebounding
87th percentile
2013-1446th percentile
82 games · 24.5 minutes per game
Scoring
46th percentile
Playmaking
20th percentile
Rebounding
86th percentile
2014-1537th percentile
81 games · 24.6 minutes per game
Scoring
37th percentile
Playmaking
35th percentile
Rebounding
86th percentile
2015-1610th percentile
47 games · 10.0 minutes per game
Scoring
10th percentile
Playmaking
14th percentile
Rebounding
40th percentile

Context

2015-16 · 47 games · 10.0 minutes per game · Percentile against 414 measured players in 2015-16 · 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 2015-16 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.