Oral Roberts and Syracuse have ridden their stars to surprise berths in the Sweet Sixteen. HSAC examines whether more teams should rely on their stars to succeed in March.
Tag - Upsets
On this episode of the HSAC Pod, David Arkow, Danny Blumenthal, and Julia Blank recap the opening weekend of the NCAA men’s basketball tournament, discuss college basketball analytics, and make predictions for the rest of...
By Daniel Alpert Round one of March Madness 2016 is in the books. From 15-seeded Middle Tennessee taking down Michigan St. to UNI hitting a half-court buzzer-beater to sink Texas, this year’s first round was full of upsets...
By Benedict Brady As we get deeper into the March Madness tournament, it is tough to weight the importance of a team’s seed with its performance in previous tournament games this year. While most people would not initially pick...
by Kurt Bullard After finishing the 2014 season 35-1 and running the table in the conference, Wichita State earned a one-seed to the dismay of mid-major haters around the country. The Shockers drew the No. 8 Kentucky in...
by Julian Ryan In America, March is the month of the Cinderella story for even the most casual of college basketball followers. Millions of fans will turn on their televisions in the hope of watching the next Butler make a run...
By Julian Ryan *Editor’s Note: Written before Week 18 rankings published Is it really that crazy a college basketball season? Most college hoops fans would argue that this season has seen an unprecedented amount of upsets...
By David Roher There are over nine quintillion ways to fill out your bracket, and over four hundred trillion ways to predict the first two rounds alone. Based on the craziness of the first four days of the tournament, I bet you...
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...
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...