NESSIS, Part 1 - Ron Yurko & Dani Chu
Rafe Anderson
This episode features two NFL-related presenters from last weekend’s NESSIS conference in Boston: Ron Yurko and Dani Chu. Both guests talk about their presentations and research, which use NFL player-tracking data.
Ron Yurko’s presentation focused on in-play valuation, which can lead to live models for expected points and win probability, instead of the traditional pre- and post-play models. Ron also touches on how sports analytics is gaining acceptance in the greater analytics community.
Dani Chu and his team won the college division of the NFL’s Big Data Bowl earlier this year, and his presentation was about using the tracking data to identify receiver routes. Dani talks about the Big Data Bowl process and what extensions might come from his research.
Listen here or wherever you get podcasts!