Professional DNA

Tiago Splitter: PROFILE NOT COMPLETE YET

Rebounding · 2016-17 · 8 games

percentil

Confidence: lowData through: 2016-17

The question

What kind of player is Tiago Splitter?

The evidence

Tiago Splitter · Rebounding: 37th percentile (2.8 rebounds per game)

37 percentilcompared against: 50 percentil (-13) · 414 players with a sample in 2016-17

Tiago Splitter: what moved most is Rebounding

43 percentilcompared against: 79 percentil (-36) · Tiago Splitter, from 2011-12 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: 9.5 minutes per game across 8 games
What sets them apartRebounding · 37th percentile
2.8 rebounds per game

The axes, one by one

Every axis with its percentile against 414 players with a sample in 2016-17. An axis without enough sample says «no data» and is not filled in.

Scoring22th percentile
4.9 points per game
Playmaking9th percentile
0.5 assists per game
Outside shootingno data
no data
Defensive impact0th percentile
DBPM -2.7: defensive impact per 100 possessions compared with an average player
Finishing at the rimno data
no data
Rebounding37th percentile
2.8 rebounds per game

Limitations

Rebounding37th percentile
Low · 2.8 rebounds per game
Scoring22th percentile
Very low · 4.9 points per game
Playmaking9th percentile
Very low · 0.5 assists per game
Defensive impact0th percentile
Very low · DBPM -2.7: defensive impact per 100 possessions compared with an average player
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: 59th percentile → 22th percentile (-37) · Playmaking: 42th percentile → 9th percentile (-33) · Rebounding: 78th percentile → 37th percentile (-41)

2011-1278th percentile
59 games · 19.0 minutes per game
Scoring
59th percentile
Playmaking
42th percentile
Rebounding
78th percentile
2012-1385th percentile
81 games · 24.7 minutes per game
Scoring
64th percentile
Playmaking
56th percentile
Rebounding
85th percentile
2013-1483th percentile
59 games · 21.5 minutes per game
Scoring
52th percentile
Playmaking
53th percentile
Rebounding
83th percentile
2014-1571th percentile
52 games · 19.8 minutes per game
Scoring
53th percentile
Playmaking
53th percentile
Rebounding
71th percentile
2015-1649th percentile
36 games · 16.1 minutes per game
Scoring
29th percentile
Playmaking
23th percentile
Rebounding
49th percentile
2016-1737th percentile
8 games · 9.5 minutes per game
Scoring
22th percentile
Playmaking
9th percentile
Rebounding
37th percentile

Context

2016-17 · 8 games · 9.5 minutes per game · Percentile against 414 measured players in 2016-17 · 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 2016-17 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.