Tag Archives: Bracketology

For the past two years, I have worked on a model that predicts NCAA Tournament upsets using the gospel of tempo-free basketball stats, the Four Factors. Over that time, the model has gone a perfect six for six in predicting … Continue reading →

(Editor’s note: You can see the model’s 2012 1-68 rankings here and full bracket here) Every year, millions of Americans tune in to watch the NCAA Men’s Basketball Tournament, colloquially known as March Madness. And every year, millions participate in Bracket Pools, where … Continue reading →

Below is my full Survival Model rankings for the NCAA tournament in 2012. The numbers are tough to interpret, but they represent the relative risk of failing (losing) at a given time period. Lower numbers represent better chances to advance:

For the past two years, I have attempted to systematically predict First Round NCAA Tournament upsets using a dataset of match-ups from 2004 onward. Last year, I improved the model by adding opponent Four Factors data, and the model correctly … Continue reading →

By John Ezekowitz Each March, college basketball fans looking for help in filling out their NCAA Tournament brackets can go one of two ways: the quantitative, algorithmic route used effectively by sites like Ken Pomeroy and TeamRankings, or the “expert … Continue reading →

By John Ezekowitz and Ben Blatt Now that the bracket is out and fans everywhere are busy trying to find that perfect upset, a lot of attention will be paid rightly to projecting ahead. We thought, however, that it might … Continue reading →

By John Ezekowitz (Ed Note: Please use our updated model and predictions for 2012, found here) This time last year, I attempted to create a logistic model that would predict those first round NCAA Tournaments that everyone loves so much. … Continue reading →