Open Source Sports

Open Source Sports

By Ron Yurko
Ron Yurko and Kostas Pelechrinis host the 'Open Source Sports' podcast to serve as a public reading group for discussing the latest research in sports analytics. Each episode focuses on a single paper featuring authors as guests, with discussions about the statistical methodology, relevance and future directions of the research.
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Rao-Blackwellizing FG% with Daniel Daly-Grafstein
In the second episode we discuss two papers by our guest Daniel Daly-Grafstein and Luke Bornn: Rao-Blackwellizing field goal percentage (published in JQAS and available at: http://www.lukebornn.com/papers/dalygrafstein_jqas_2019.pdf) and Using In-Game Shot Trajectories to Better Understand Defensive Impact in the NBA (available at: https://arxiv.org/pdf/1905.00822.pdf). Daniel is currently a soccer data analyst at Sportlogiq, an sports AI company that, in soccer, focuses on generating tracking data using computer vision.  The papers discussed in this episode were part of Daniel’s Master's degree in statistics at Simon Fraser University. In the fall Daniel is going to be starting his PhD in Statistics at the University of British Columbia. Additional resources mentioned in the show: Daniel's GitHub repository: https://github.com/danieldalygrafstein/nba-raoblackwellizing-field-goal Sloan conference papers by: (1) Rachel Marty and Simon Lucey: A data-driven method for understanding and increasing 3-point shooting percentage (http://www.sloansportsconference.com/wp-content/uploads/2017/02/1505.pdf) and (2) Rachel Marty: High-resolution shot capture reveals systematic biases and an improved method for shooter evaluation (http://www.sloansportsconference.com/wp-content/uploads/2018/02/1005.pdf) Also you should read the wikipedia page on the Rao-Blackwell theorem: https://en.wikipedia.org/wiki/Rao%E2%80%93Blackwell_theorem
43:52
June 15, 2020
openWAR with Gregory J. Matthews
In the first official Open Source Sports podcast episode, we discuss openWAR (available on arXiv https://arxiv.org/abs/1312.7158 and JQAS ) with author Gregory J. Matthews (@StatsInTheWild), Associate Professor of Statistics at Loyola University Chicago. Additional resources mentioned in the show: openWAR code repository: https://github.com/beanumber/openWAR Baseball Prospectus example articles (*deserved runs created, NOT defensive runs created as incorrectly stated in the show):  https://www.baseballprospectus.com/news/article/48293/entirely-beyond-wowy-a-breakdown-of-drc/ and https://www.baseballprospectus.com/news/article/41748/prospectus-feature-the-expected-contribution/ Bill Petti’s baseballr package http://billpetti.github.io/baseballr/
1:39:18
May 10, 2020
Open Source Sports preview!
Ron Yurko and Kostas Pelechrinis host the 'Open Source Sports' podcast to serve as a public reading group for discussing the latest research from sports analytics and statistics in sports. This teaser episode introduces the hosts and discusses the podcast format. Each episode will focus on a single paper featuring authors as guests, with discussions about the statistical methodology, relevance and future directions of the research. Follow along on Twitter: Open Source Podcast: @OpenSrcSports Ron: @Stat_Ron Kostas: @kpelechrinis
07:48
May 6, 2020