EPISODE · Sep 29, 2021 · 53 MIN
Kumagai, Nahabedian, Châtel, & Stokes
from Hockey IQ Podcast
On this episode of the Hockey IQ podcast, we sit down with Brendan Kumagai, Mikael Nahabedian, Thibaud Châtel, and Tyrel Stokes. Bayesian space-time model for evaluating offensive sequences and player actions A few areas on this episode we discuss:- Value of passing- Their PAV metric - Understanding which areas of the ice are best and when is the best time to use it- Quantifying how teams improve the conditions of the puck- How to best enter the offensive zone Find their research paper on Hockey GraphsPart 1Part 2Follow them on TwitterBrendan Kumagai @BrendanKumagaiMikael Nahabedian @HunterOfStatsThibaud Châtel @Thibaud_ChatelTyrel Stokes @TyrelStokesCheck out Hockey's Arsenal all over the web:Website HockeysArsenal.comTwitter @HockeysArsenal (@CoachRevak for Greg + @Daniel_Dukart for Dan)Hockey IQ Podcast Spotify or Apple Podcasts or on our websiteInstagram @HockeysArsenalYouTube @HockeysArsenalFacebook @HockeysArsenalNewsletter HockeysArsenal.Substack.Com
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On this episode of the Hockey IQ podcast, we sit down with Brendan Kumagai, Mikael Nahabedian, Thibaud Châtel, and Tyrel Stokes. Bayesian space-time model for evaluating offensive sequences and player actions A few areas on this episode we discuss: - Value of passing - Their PAV metric - Understanding which areas of the ice are best and when is the best time to use it - Quantifying how teams improve the conditions of the puck - How to best enter the offensive zone Find their research pap...
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Kumagai, Nahabedian, Châtel, & Stokes
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