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Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?

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Manage episode 372297978 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In 2022, the sports analytics sector was valued at 2.98 billion USD and is expected to grow to 22.13 billion USD by 2030, at a CARG of 28.7% (source). In today's episode, we do a deep dive into this rapidly growing field from both industry and academic perspectives. What metrics do companies and researchers use to predict the next big winner? How are statistical tools and modeling applied differently to measure an individual player’s performance versus that of a team? How does an aspiring data scientist break into the sports analytics industry? We explore these questions and more with the help of two experts. Listen now!

Our guests:

  • Dr. Mark Glickman, senior lecturer on statistics and head of the Sports Analytics Laboratory at Harvard University
  • Michael Schwimer, founder and CEO of Big League Advantage
  continue reading

54 episodes

Artwork
iconShare
 
Manage episode 372297978 series 3481544
Content provided by Harvard Data Science Review. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harvard Data Science Review or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In 2022, the sports analytics sector was valued at 2.98 billion USD and is expected to grow to 22.13 billion USD by 2030, at a CARG of 28.7% (source). In today's episode, we do a deep dive into this rapidly growing field from both industry and academic perspectives. What metrics do companies and researchers use to predict the next big winner? How are statistical tools and modeling applied differently to measure an individual player’s performance versus that of a team? How does an aspiring data scientist break into the sports analytics industry? We explore these questions and more with the help of two experts. Listen now!

Our guests:

  • Dr. Mark Glickman, senior lecturer on statistics and head of the Sports Analytics Laboratory at Harvard University
  • Michael Schwimer, founder and CEO of Big League Advantage
  continue reading

54 episodes

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