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Professional DNA

Nikola Jokić: OFFENSIVE ENGINE

Playmaking · 2025-26 · 65 games

100

percentil

Nikola Jokić
Confidence: lowData through: 2025-26Rights: Licensed data: viewable here; ask before redistributing.

The question

What kind of player is Nikola Jokić?

The evidence

Nikola Jokić · Playmaking: 100th percentile (10.7 assists per game)

100 percentilcompared against: 50 percentil (+50.00 · +100 %)

Nikola Jokić: what moved most is Rebounding

100 percentilcompared against: 98 percentil (+2.00 · +2 %)

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 areOFFENSIVE ENGINE
  • RoleFeatured starter: 34.8 minutes per game across 65 games
  • What sets them apartPlaymaking · 100th percentile

    10.7 assists per game

The axes, one by one

Every axis with its percentile against 452 players with a sample in 2025-26. An axis without enough sample says «no data» and is not filled in.

  • Scoring98th percentile

    27.7 points per game

  • Playmaking100th percentile

    10.7 assists per game

  • Outside shooting76th percentile

    38.0 % from three · 295 attempts

  • Defensive impact99th percentile

    DBPM 3.3

  • Finishing at the rim82th percentile

    73.0 % · 330 attempts

  • Rebounding100th percentile

    12.9 rebounds per game

Strengths

  • Playmaking100th percentile

    Elite · 10.7 assists per game

  • Rebounding100th percentile

    Elite · 12.9 rebounds per game

  • Defensive impact99th percentile

    Elite · DBPM 3.3

  • Scoring98th percentile

    Elite · 27.7 points per game

  • Finishing at the rim82th percentile

    Very high · 73.0 % · 330 attempts

  • Outside shooting76th percentile

    Very high · 38.0 % from three · 295 attempts

Limitations

No measured axis falls below his league's median. What follows are the limits of the read, not weak spots in the player.

  • Availability65/82

    missed 17 of his team's games in 2025-26

  • There is no movement or touch data: what we do not measure does not appear, and is not replaced by something else.

Recent change

Scoring: 97th percentile → 98th percentile (+1) · Playmaking: 99th percentile → 100th percentile (+1) · Rebounding: 98th percentile → 100th percentile (+2)

  • 2020-2198th percentile

    72 games · 34.6 minutes per game

    Scoring
    97th percentile
    Playmaking
    99th percentile
    Rebounding
    98th percentile
  • 2021-22100th percentile

    74 games · 33.5 minutes per game

    Scoring
    98th percentile
    Playmaking
    98th percentile
    Rebounding
    100th percentile
  • 2022-2399th percentile

    69 games · 33.7 minutes per game

    Scoring
    94th percentile
    Playmaking
    99th percentile
    Rebounding
    99th percentile
  • 2023-2499th percentile

    79 games · 34.6 minutes per game

    Scoring
    98th percentile
    Playmaking
    99th percentile
    Rebounding
    99th percentile
  • 2024-25100th percentile

    70 games · 36.7 minutes per game

    Scoring
    100th percentile
    Playmaking
    100th percentile
    Rebounding
    100th percentile
  • 2025-26100th percentile

    65 games · 34.8 minutes per game

    Scoring
    98th percentile
    Playmaking
    100th percentile
    Rebounding
    100th percentile

Context

2025-26 · 65 games · 34.8 minutes per game · Percentile against 452 measured players in 2025-26 · 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 2025-26 season, already closed. It is not what comes next.
  • There is no movement or touch data: what we do not measure does not appear, and is not replaced by something else.

From here

Contract sheet

Source

not stated

Model input

not stated

Computation

not stated

This answer

2026-09-24

Where this comes from

Season averages · closed season · its clock is the seasonBox scores · closed season · its clock is the season