Posts tagged NESSIS

NESSIS, Part 2 - Laurie Shaw & Sam Gregory

This episode features two soccer-related presenters from last weekend’s NESSIS conference in Boston: Laurie Shaw and Sam Gregory. Both guests talk about their presentations and research, which use player-tracking data.

Harvard’s Laurie Shaw presented on using player-tracking data to classify and analyze team strategy, by identifying formations in different situations. Laurie has a background in astrophysics and hedge funds, and he talks about how his previous experience helps him in sports analytics.

Sportlogiq data analyst Sam Gregory presented on detecting off-the-ball runs with the goal of identifying players who act similarly, which run types are effective against certain teams, and more. Sam previously worked at Opta and has an extensive background in soccer analytics.

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Expected ValueRafe AndersonOctober 4, 2019Soccer, NESSISComment

NESSIS, Part 1 - Ron Yurko & Dani Chu

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.

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Expected ValueRafe AndersonOctober 2, 2019Football, NESSISComment