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Jan Van Haaren - Taking soccer to the next level with advanced analytics

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Content provided by Sports Tech Research Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sports Tech Research Network 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://ro.player.fm/legal.

Episode 25 is with Jan Van Haaren who worked for several years at SciSports, a Dutch football analytics company. Jan has a background in Computer Science and a PhD. in Machine Learning and worked as the Chief Analytics Officer at SciSports. He's been involved in soccer analytics for some time now and SciSports aims at getting the most valuable insights from football matches and training sessions.

In this podcast (recorded before Jan left the company), the different types of football analytics are covered (match sheet data, event data, and tracking data). Furthermore, the analytics discipline and its critical hurdles are discussed in depth. In addition, the ambition of creating actionable insights, and the role of multidisciplinary teams in soccer analytics in general are discussed. Finally, Kristof & Jan talk about the transition from descriptive analytics to predictive & prescriptive analytics. Enjoy this episode!

  continue reading

41 episoade

Artwork
iconDistribuie
 
Manage episode 318054673 series 3250799
Content provided by Sports Tech Research Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sports Tech Research Network 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://ro.player.fm/legal.

Episode 25 is with Jan Van Haaren who worked for several years at SciSports, a Dutch football analytics company. Jan has a background in Computer Science and a PhD. in Machine Learning and worked as the Chief Analytics Officer at SciSports. He's been involved in soccer analytics for some time now and SciSports aims at getting the most valuable insights from football matches and training sessions.

In this podcast (recorded before Jan left the company), the different types of football analytics are covered (match sheet data, event data, and tracking data). Furthermore, the analytics discipline and its critical hurdles are discussed in depth. In addition, the ambition of creating actionable insights, and the role of multidisciplinary teams in soccer analytics in general are discussed. Finally, Kristof & Jan talk about the transition from descriptive analytics to predictive & prescriptive analytics. Enjoy this episode!

  continue reading

41 episoade

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