Here in the US, it's the nationwide men's college basketball tournament season! Therefore let's use some data from the previous years' tournaments to sharpen our analytics & visualization skills... But before we get started, I must mention (brag?) that my alma mater, NC State University, won this tournament in 1983.
The second round of the 2017 NCAA Men’s Basketball Tournament was an interesting one. Eight-seeded Wisconsin took out the reigning champion Wildcats, despite pundit predictions that Villanova could go all the way again. South Carolina, 24-10 in the SEC during the regular season, upset perennial favorite Duke by seven points.
„Oh Mann, mach ihn doch rein.“ Wer kennt das nicht, man fiebert live im Stadion oder auf der heimischen Couch mit seinem Lieblingsteam, das gerade versucht, ein wichtiges Match zu gewinnen oder die langersehnte Trophäe zu ergattern. Ja, und dann sitzt man da auf seinem Sitz oder im Sessel und
People have always been fascinated by sports statistics, and with the recent popularity of fantasy sports there is an increased demand for custom analyses of the sports data. With those folks in mind, I have created a simple example that SAS programmers can use as a starting point for analyzing NBA
I get several requests and recommendations for analyzing sports data. I'm not a big sports fan ... but when did I ever let that stop me! When I find interesting data, I like to graph it! Before we get into the nitty-gritty data analysis, here is a picture of my friend Jennifer's daughter
In my region of North Carolina (Raleigh, Durham, and Chapel Hill) one of the most anticipated times of the year has arrived— the NCAA basketball tournament. This is a great time of year for me, because I get to combine several of my passions. For those who don’t live among crazed college
Anyone who knows me knows that I'm one of the biggest NCSU Wolfpack fans around. And, I’m a huge fan of the amazing workplace culture at SAS, too. It's not very often I get to combine those two passions into one news story - but when I do, you better
Yesterday was one of those (many) days where I felt the pride of working at SAS. It all started when I read a News & Observer article detailing the plight of student journalists at NC State University's newspaper, The Technician, trying to get to St. Louis to cover their beloved Wolfpack
In this informative webcast, professors Jay Coleman and Mike DuMond discuss the 2012 Dance Card, revealing this year’s accuracy rate in predicting at-large selections to the Men’s Division I NCAA Tournament. The professors review the top 70 teams in the Dance Card, identify one team that may indicate a conference
If you like college basketball and the bracketology talk around the NCAA Tournament, you don’t want to miss an in-depth webcast with Dance Card professors Jay Coleman and Mike DuMond, taped earlier this morning. The professors discuss the 2012 Dance Card accuracy, the methodology behind the Dance Card, and identifying
Once again NCAA men’s basketball is peaking – and so is talk of brackets and bubble-busters, bad calls and buzzer beaters, what-ifs and what the … happened? Dance Card Roundup Official Dance Card site SAS Dance Card blog series NCAA Tournament Meet the Professors Jay Coleman Bio Allan Lynch Bio
Director of Business Strategy for the Orlando Magic, Anthony Perez, recently spoke at the SAS Global Forum Executive Conference on how analytics is molding the NBA - both on and off the court. The Orlando Magic is currently one of the top teams in the NBA, and that is no
The NCAA Division I men's basketball tournament is big business and March Madness is exciting, but is the selection process fair? Using the SAS Analytics-powered "Dance Card" formula developed by Jay Coleman of the University of North Florida, Mike DuMond of Charles River Associates, and Allen Lynch of Mercer University,