Friday, March 1, 2013

The 2013 Sloan Sports Analytics Conference

Hello, Sloan Sports Analytics attendees!

This is the third year I'll be attending Sloan, but unfortunately my co-author can't make it again this year. For those of you who have never visited the blog before: welcome. (For those of you who have, this post will look eerily like last year's post.) We're a pair of Silicon Valley software engineers who moonlight as college football stats analysts, and occasionally we're not completely wrong. I'm Justin, the founder of the blog and curator of the Tempo-Free Gridiron (TFG) ranking and prediction system. A year into the blog, I managed to rope Eddie, a co-worker and Arkansas Razorback fanatic, into creating his own competing system; the result was the Regression-Based Analysis (RBA) algorithm.

To get a feel for what we do here, we invite you to take a look at some of the posts describing tempo-free statistics in general (courtesy of Dean Oliver via Ken Pomeroy), the motivation behind this particular blog, and a peek under the hood of the TFG system (and a recent update). We also have info about the RBA model (along with an update and yet another update). Recently we've also started exploring how to create viable in-game win probabilities.

Given that it's the college football offseason, there's not too much happening on an ongoing basis right now, and it'll be kind of quiet until August. However we invite you to look at some of the "best of" we've produced, as other posts of interest, including
During the regular season you can expect to find weekly posts showcasing
This is all on top of predictions for each and every game between two FBS teams.

All-in-all it's grown into a pretty complicated system backed by a lot of code we've written over the last few years. If you have any questions or feedback for us, don't hesitate to email us at our addresses (justin@ or eddie@), leave a comment here, or hit us up on Twitter.

Enjoy the conference, and we hope to see you there.