Breaking Down the NBA 3-Point Shot, Data Science Style (Ep. 24)

April 6, 2017 Jeff Kelly

The NBA introduced the three point shot in 1979, but just how much has it impacted the style of play? That's the question Pivotal Data Scientist - and avid NBA fan - Chris Rawles wanted to answer. Chris applied his skills as a data scientist to years worth of NBA statistical data to illustrate just how much the game has changed since players started launching bombs from behind the three point arc nearly forty years ago. In this episode of Pivotal Insights, Chris breaks down his findings, talks to Jeff and Dormain about the tools he used to perform the analytics, and - just to keep things interesting -fills us in on some of the current uses of data analytics by NBA teams.

Show Notes

Visit http://pivotal.io/podcasts for show notes and other episodes.
Download the episode and check us out on SoundCloud, subscribe to the feed directly, or on iTunes to have it automatically downloaded for you.
Twitter: @jeffreyfkelly, @dormaindrewitz and @thecrawles.
Feedback: podcast@pivotal.io

News & Resources

Check out Chris's blog post, Data Science How-To: Using Apache Spark for Sports Analytics
Chris also breaks down the impact of "Curry Ball" on your March Madness brackets so next year you can stay alive past the second round.
Want to try your hand at analyzing NBA data? Get all the statistical data you'll need at basketball-reference.com.

About the Author

Jeff Kelly is a Director of Partner Marketing at Pivotal Software. Prior to joining Pivotal, Jeff was the lead industry analyst covering Big Data analytics at Wikibon. Before that, Jeff covered enterprise software as a reporter and editor at TechTarget. He received his B.A. in American studies from Providence College and his M.A. in journalism from Northeastern University.
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Breaking Down the NBA 3-Point Shot, Data Science Style (Ep. 24)

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Breaking Down the NBA 3-Point Shot, Data Science Style (Ep. 24)

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