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Potential for Computer Vision & Video Analytics in Lacrosse

February 8, 2017

Computer vision is having a sort of coming-out moment. (And more broadly, the umbrella of machine learning that it falls under.)  Everyone in the field got really excited when a computer beat the world champion at a game called Go.  Every tech company seems to be devoting more resources to acquiring promising start ups.  And […]

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Estimating the goal value of each type of play

February 4, 2017

With enough data points, it becomes possible to calculate the expected effect of a given play on goal outcomes.  We can argue about how many occurrences you need for a  model to converge on an expected value, but fundamentally, if a certain type of play more often results in that team scoring a goal than their opponent, […]

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Lacrosse Reference’s Win Probability Model

January 24, 2017

LacrosseReference really got started during the 2016 NCAA tournament.  During the Maryland vs Syracuse quarterfinal game, Maryland scored with 11 minutes remaining in the 4th quarter to increase their lead to 10-6.  We started thinking, what are the odds that Syracuse comes back in this game?  I remember seeing win probabilities during ESPN.com’s coverage of […]

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Introducing Lacrosse Reference

January 12, 2017

Welcome to LacrosseReference.com. Our goal with this site is to bring together two worlds that, best we can tell, haven’t overlapped very much: the statheads and the lacrosse junkies.  Baseball, basketball, football, hockey, even soccer have all experienced a renaissance of enthusiasts seeking to increase the collective understanding of their games.  Given our joint backgrounds […]

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