Professional DNA

George Hill: DEFENSIVE ANCHOR

Defensive impact · 2022-23 · 46 games

percentil

Confidence: lowData through: 2022-23

The question

What kind of player is George Hill?

The evidence

George Hill · Defensive impact: 82th percentile (DBPM 0.9: defensive impact per 100 possessions compared with an average player)

82 percentilcompared against: 50 percentil (+32) · 436 players with a sample in 2022-23

George Hill: what moved most is Scoring

27 percentilcompared against: 53 percentil (-26) · George Hill, from 2017-18 to 2021-22

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 areDEFENSIVE ANCHOR
RoleShort rotation: 18.1 minutes per game across 46 games
What sets them apartDefensive impact · 82th percentile
DBPM 0.9: defensive impact per 100 possessions compared with an average player

The axes, one by one

Every axis with its percentile against 436 players with a sample in 2022-23. An axis without enough sample says «no data» and is not filled in.

Scoring22th percentile
5.0 points per game
Playmaking64th percentile
2.4 assists per game
Outside shooting61th percentile
Defensive impact82th percentile
DBPM 0.9: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding16th percentile
1.8 rebounds per game

Strengths

Defensive impact82th percentile
Very high · DBPM 0.9: defensive impact per 100 possessions compared with an average player

Limitations

Scoring22th percentile
Very low · 5.0 points per game
Rebounding16th percentile
Very low · 1.8 rebounds per game
Axes without enough sample
Finishing at the rim
This DNA profile does not include movement or touch data.
See Tracking →

Recent change

Scoring: 60th percentile → 22th percentile (-38) · Playmaking: 74th percentile → 64th percentile (-10) · Rebounding: 34th percentile → 16th percentile (-18)

2017-1860th percentile
67 games · 27.0 minutes per game
Scoring
60th percentile
Playmaking
74th percentile
Rebounding
34th percentile
2018-1945th percentile
60 games · 21.7 minutes per game
Scoring
45th percentile
Playmaking
65th percentile
Rebounding
27th percentile
2019-2055th percentile
59 games · 21.5 minutes per game
Scoring
55th percentile
Playmaking
77th percentile
Rebounding
36th percentile
2020-2151th percentile
30 games · 22.4 minutes per game
Scoring
51th percentile
Playmaking
69th percentile
Rebounding
16th percentile
2021-2231th percentile
54 games · 23.2 minutes per game
Scoring
31th percentile
Playmaking
63th percentile
Rebounding
34th percentile
2022-2322th percentile
46 games · 18.1 minutes per game
Scoring
22th percentile
Playmaking
64th percentile
Rebounding
16th percentile

Context

2022-23 · 46 games · 18.1 minutes per game · Percentile against 436 measured players in 2022-23 · 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 2022-23 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

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