Alex is currently working towards his Master's in Data Science at the University of Virginia. Not only has he been working for the UVA football team in an analytical capacity, but he also presented his own research at the NFL's Big Data Bowl in 2020.I came across his paper and was eager to reach out to him. Our discussion covers the deficiencies of traditional box scores, judging information in context, predicting individual vs team performance, and how all this work will go from behind the scenes to on the field. Links mentioned:ESPN analytics surveyVirgil Carter - Operations Research on FootballPulling the Goalie: Hockey and Investment ImplicationsData, Decisions, and Basketball with Sam HinkieInside Football Podcast with Bill PolianTranscriptNewsletterTimestamps:1:51 Alex’s time at Big Data bowl and his direction for research4:56 First exposure to data analytics6:52 Traditional box scores9:44 Analytics and fantasy sports12:19 Judging information in context15:52 Player vs team modeling19:38 EPA vs WPA24:38 Increasing variance as the underdog30:02 How does this work go from behind the scenes to on the field?35:44 Unpopular roster management decisions38:42 Individual performance, success rates, and tracking data40:48 Adopting analytics, communication44:05 Spin on 25th hour questionWhere to listen, subscribe, rate, and review: Apple PodcastsSpotifyNewsletterBlogTwitter Thank you for listening!

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