Explore the vibrant world of sports data visualization with Observable's community notebooks. Discover a collection of examples that demonstrate quick analysis, research advancements, and insights in the sports industry.

Tanya Shapiro

NBA Player Shot Charts

Mike Bostock

Observable

Plot: LeBron James’ shots

U.S. Major League Sports Teams

Brentyn Muir

Which NBA Basketball Team is ACTUALLY the GOAT?

Ken Lin

Shortest F1 Races by Distance

P1Software

IMSA 2022 Championship Race Durations

Troy Won

COMP-590

Is Connor McDavid Really THAT Good?

Kyungho Lee

World Stadium Location Visualization Tutorial

Nicolas Mermoud-Ghraichy

Custom Match Picture Generator

Fabio G.

infovis group 1

Worldcup 2022 visualisation

Akilhoussen Onaly

Results of international football matches from 1872 to 2021

Giorgia Ditano

 
  FIFA World Cups, 1930 - 2018


Jimmy Zhang

NBA Referee Movement

Zones data visualisation from conflict zone model: soccer application

Tucker Paron

Visualising and Quantifying Space Control in Soccer

Bump Charts: English Premier League

Paul Buffa

Visualizing Running - Part I

Visualizing Running - Splits

Wayne Sutton

Anna Wiederkehr

Virginia Poltrack

Clint Bagley

The Observable team is combining efforts to analyze #NBAFinals games & showcase unique ways to use Observable. This notebook series is for NBA fans, the #NBATwitter community + data practitioners to enjoy & experiment with.

Watch the NBA Finals Players Data Jam on Observable

Collections related to specific areas of interest, curated by the Observable team. 

Topics

Sports

Notebook examples

lebron_shots.csv