PODCAST · 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.
Episodes
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A Statistical Model of Serve Return Impact Patterns in Professional Tennis with Stephanie Kovalchik
In this episode we talk to Stephanie Kovalchik about her paper 'A Statistical Model of Serve Return Impact Patterns in Professional Tennis' (co-authored with Jim Albert). Stephanie is a Staff Data Scientist at Zelus Analytics, where she works on advanced performance valuation for multiple pro...
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True Shot Charts with Justin Ehrlich and Shane Sanders
We discuss True Shot Charts with Syracuse University Professors Justin Ehrlich and Shane Sanders. For references mentioned in the show: BigDataBall StatMuse Positive Residual - True Shooting Charts
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An Examination of Sport Climbing with Quang Nguyen
We discuss An Examination of Olympic Sport Climbing Competition Format and Scoring System with Quang Nguyen (@qntkhvn). This paper won the Carnegie Mellon Sports Analytics Conference Reproducible Research Competition in November 2021. Quang Nguyen completed his Master of Science in Applied...
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Grinding the Mocks with Benjamin Robinson
We discuss Grinding the Bayes: A Hierarchical Modeling Approach to Predicting the NFL Draft with Benjamin Robinson (@benj_robinson). This paper was a finalist in the Carnegie Mellon Sports Analytics Conference Reproducible Research Competition in October 2020. You can submit an abstract to enter...
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Expected Hypothetical Completion Probability with Sameer Deshpande and Katherine Evans
We discuss a previous Big Data Bowl finalist paper `Expected Hypothetical Completion Probability` (https://arxiv.org/abs/1910.12337) with authors Sameer Deshpande (@skdeshpande91) and Kathy Evans (@CausalKathy). Sameer is a postdoctoral associate at MIT. Prior to that, he completed his Ph.D. at…
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Bang the can slowly with Ryan Elmore and Gregory J. Matthews
We discuss Bang the Can Slowly: An Investigation into the 2017 Houston Astros with Ryan Elmore (@rtelmore) and Gregory J. Matthews (@StatsInTheWild). This paper was the winner of the Carnegie Mellon Sports Analytics Conference Reproducible Research Competition in October 2020. Ryan Elmore is an...
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How often does the best team win with Michael Lopez
We discuss 'How often does the best team win? A unified approach to understanding randomness in North American sport' with Michael Lopez. Michael Lopez (@StatsbyLopez) is the Director of Football Data and Analytics at the National Football League and a Lecturer of Statistics and Research…
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Player Chemistry in Soccer with Lotte Bransen
We discuss 'Player Chemistry: Striving for a Perfectly Balanced Soccer Team' with Lotte Bransen. This paper builds on the VAEP framework previously introduced Lotte and her colleagues, in order to quantify player chemistry. Our discussion covers details of the paper along with general challenges…
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Models for hockey player ratings with Andrew Thomas and Sam Ventura
In the third episode of the show we discuss 'Competing process hazard function models for player ratings in ice hockey' with two guests, Andrew Thomas and Sam Ventura. The discussion ranges from paper details to thoughts on modeling in hockey and sports in general. Andrew Thomas (@acthomasca) is...
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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...
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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…
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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…
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ABOUT THIS SHOW
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.
HOSTED BY
Ron Yurko
CATEGORIES
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Frequently Asked Questions
How many episodes does Open Source Sports have?
Open Source Sports currently has 12 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Open Source Sports about?
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...
How often does Open Source Sports release new episodes?
Open Source Sports has 12 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Open Source Sports?
You can listen to Open Source Sports on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts Open Source Sports?
Open Source Sports is created and hosted by Ron Yurko.
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