Professional DNA

Matthew Dellavedova: PROFILE NOT COMPLETE YET

Playmaking · 2022-23 · 32 games

percentil

Confidence: lowData through: 2022-23

The question

What kind of player is Matthew Dellavedova?

The evidence

Matthew Dellavedova · Playmaking: 38th percentile (1.3 assists per game)

38 percentilcompared against: 50 percentil (-12) · 436 players with a sample in 2022-23

Matthew Dellavedova: what moved most is Playmaking

38 percentilcompared against: 84 percentil (-46) · Matthew Dellavedova, from 2016-17 to 2022-23

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: 6.7 minutes per game across 32 games
What sets them apartPlaymaking · 38th percentile
1.3 assists per game

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.

Scoring2th percentile
1.5 points per game
Playmaking38th percentile
1.3 assists per game
Outside shootingno data
no data
Defensive impact24th percentile
DBPM -0.8: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding0th percentile
0.4 rebounds per game

Limitations

Playmaking38th percentile
Low · 1.3 assists per game
Defensive impact24th percentile
Very low · DBPM -0.8: defensive impact per 100 possessions compared with an average player
Scoring2th percentile
Very low · 1.5 points per game
Rebounding0th percentile
Very low · 0.4 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: 50th percentile → 2th percentile (-48) · Playmaking: 90th percentile → 38th percentile (-52) · Rebounding: 17th percentile → 0th percentile (-17)

2016-1790th percentile
76 games · 26.1 minutes per game
Scoring
50th percentile
Playmaking
90th percentile
Rebounding
17th percentile
2017-1884th percentile
38 games · 18.7 minutes per game
Scoring
16th percentile
Playmaking
84th percentile
Rebounding
12th percentile
2018-1984th percentile
48 games · 16.9 minutes per game
Scoring
28th percentile
Playmaking
84th percentile
Rebounding
9th percentile
2019-2077th percentile
57 games · 14.4 minutes per game
Scoring
5th percentile
Playmaking
77th percentile
Rebounding
3th percentile
2020-2187th percentile
13 games · 17.2 minutes per game
Scoring
6th percentile
Playmaking
87th percentile
Rebounding
15th percentile
2022-2338th percentile
32 games · 6.7 minutes per game
Scoring
2th percentile
Playmaking
38th percentile
Rebounding
0th percentile

Context

2022-23 · 32 games · 6.7 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

2026-10-13

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.