How often does the best team win with Michael Lopez

Open Source Sports

Ron Yurko द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Ron Yurko या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।

4y ago 1:03:30

M4A•एपिसोड होम

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 Associate at Skidmore College. At the National Football League, his work centers on how to use data to enhance and better understand the game of football.

For additional references mentioned in the show:

NESSIS 2017 talk: https://www.youtube.com/watch?v=obb_wpn4IvE
CMSAC 2017 talk: https://www.youtube.com/watch?v=owOpU_diCVI
'teamcolors' package by Ben Baumer (@BaumerBen) and Gregory J. Matthews (@StatsInTheWild)
Mike's tutorial posts on the paper's modeling framework: https://statsbylopez.netlify.app/post/a-state-space-model-to-evaluate-sports-teams/
Follow Tom Bliss (@DataWithBliss) and check out his presentation at UCSAS20
Dan Cervone's archived 'Win Probability Probabilities' post: http://web.archive.org/web/20200808064442/http://xyresearch.com/posts/win-probability-probabilities with code available here https://github.com/dcervone/winProb
Big Data Bowl 2021: https://www.kaggle.com/c/nfl-big-data-bowl-2021

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#Sports #Ron Yurko