You’re looking for insight into bowl games. Anything to get an edge in the chaos of college football.
Teams will leave the snuggly confines of their own conference and take on foes from throughout the country. Analytics that can accurately account for strength of schedule becomes an indispensable tool to evaluate these games.
I had the pleasure of talking about my predictions on Betting Dork, the podcast hosted by Gill Alexander. To listen to the first part in which we discuss the first 17 bowl games, click here or download the podcast from Betting Dork on iTunes.
Gill does an amazing job preparing for each of his podcasts. When he first interviewed me before March Madness this year, he dug out every bit of information on the internet about me, even an quote from a video.
In addition, Gill doesn’t just call up his guests and plop the result of iTunes. He spends hours editing each show, making it run smooth. If I bumble my way through a sentence, I just say “Gill, edit that out, please”.
3 insights into bowl games from numbers
The first half of the Bowl podcast is awesome. Here are 3 reasons to listen.
- 3 games with value that come from misjudging conference strength. Hint: the conference of my Ph.D. institution Stanford might be the undervalued one.
- My doubts about the greatness of Chris Petersen as a coach.
- A team in which I doubt my yards per play adjusted for strength of schedule.
Dave Essler, a handicapper with pregame.com, is the other guest, and he provides a different angle based on motivation and other intangible factors.