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 and football and
Hawk-Eye in tennis.
Patrick Lucey currently is the Director of Data Science at STATS, where his goal is to maximize
the value of the 35 years worth of sports data that they have. Previously, he was at Disney
Research for 5 years, where he conducted research into automatic sports broadcasting using large
amounts of spatiotemporal tracking data. Previous to that, he was a Postdoctoral Researcher at the
Robotics Institute at Carnegie Mellon University/Department of Psychology at University of
Pittsburgh conducting research on automatic facial expression recognition. He received his BEng(EE)
from USQ and his PhD from QUT, Australia in 2003 and 2008 respectively. He was a co-author of the
best paper at the 2016 MIT Sloan Sports Analytics Conference and in 2017 was co-author of
best-paper runner-up at the same conference. Additionally, he has won best paper awards at
INTERSPEECH (2007) and WACV (2014) international conferences. His main research interests are in
artificial intelligence and interactive machine learning in sporting domains.
This talk is organized in the context of the
11. International Symposium Computer
Science and Sport. For TRR members there is no need to register for the Symposium in order to
attend the talk.
This talk cannot be transmitted to the powerwall room at VISUS in Stuttgart.