Title:
Interactive Sports Analytics: Going Beyond Spreadsheets

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lucey.mp4 (384.33 MB)
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Author(s)
Lucey, Patrick
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http://hdl.handle.net/1853/54713
Abstract
Imagine watching a sports game live and having the ability to find all plays which are similar to what just happened immediately. Better still, imagine having the ability to draw a play with the x’s and o’s on an interface, like a coach draws up on a chalkboard and finding all the plays like that instantaneously and conduct analytics on those plays (i.e., when those plays occur, how many points a team expects from that play). Additionally, imagine having the ability to evaluate the performance of a player in a given situation and compare it against another player in exactly the same position. We call this approach “Interactive Sports Analytics” and in this talk, I will describe methods to find play similarity using multi-agent trajectory data, as well as predicting fine-grain plays. I will show examples using STATS SportVU data in basketball, Prozone data in soccer and Hawk-Eye in tennis.
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Date Issued
2016-03-30
Extent
47:47 minutes
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Moving Image
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Lecture
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