By John Ezekowitz On Tuesday, I looked at predicting upsets in the NCAA Tournament. Today I’m looking at which favorites are vulnerable to upsets. Again, I created a database of NCAA Tournament favorites’ tempo-free...
Author note: This article originally appeared on the old HSAC blog around this time last year, back when I was a wee freshman (I am now a no-less-wee sophomore). But because that blog has been lost to the ages, and because this...
By John Ezekowitz A few weeks ago, when I started analyzing the effects of tempo on NCAA Tournament upsets, I got a crazy idea: what if I could find a model that would predict factors of successful underdogs? I’ve always...
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By David Roher Had an incredible time at the Sloan Sports Analytics Conference yesterday. I got to tell so many people how long I’d been reading their books and blogs, or how important they were to my becoming interested in...
By Jake Fisher In the first installment of this series, I looked at team values provided by Forbes. According to regression analysis, team value is a function of team revenue. I also looked at the correlation between a team’s...
By David Roher Disclaimer: This medal weighting system does not reflect the views or endorsement of any NBC broadcasters, and only reflects the view of the author. U-S-A! U-S-A! According to the medal count that everyone’s...
By David Roher According to an AP story written last night, the NFL is considering a change to its overtime system, although only for playoff games. A change from the sudden-death format is overdue. Brian Burke has found that in...
By Jake Fisher As the title suggests, this multi-part series of posts will take a step off the field and into the front office. The goal of the series is to examine some of the intricacies of the sports industry. Where do teams...
A paper written by HSAC has been accepted into the Journal of Quantitative Analysis in Sports! This will be the second paper HSAC has published in JQAS. HSAC’s first appearance in the journal came in 2007, when the club looked...