Rob Pizzola, a numbers based sports bettor, joins the show to discuss football and hockey analytics. He shares his experience starting out as a bettor and running the Prediction Machine site. Rob also discusses his NFL modeling and which team he's looking to back the next few weeks. With the start of the NHL season on October 4th, he educates us on the latest in hockey analytics and gives a bold prediction for the upcoming season.

David Hale, writer for ESPN, joins me to discuss his recent article on turnovers in college football. He talks about how game situation affects turnovers, and how these big plays can have interesting psychological consequences on the other team (e.g. Miami's turnover chain in 2017). We also discuss the catastrophe of Florida State, and whether to back or fade them. David also provides his thoughts on Clemson and Dabo Swinney's early season approach to coaching.

Josh Hermsmeyer, a data scientist and writer for FiveThirtyEight, joins me talk about his work on NFL passing analytics. He explains the concept of air yards and how the distance the ball travels in the air can lead to predictive stats. Josh also discusses his recent FiveThirtyEight article on how NFL offenses do not pass nearly enough. Finally, he gives us a value player for DFS and an NFL team prediction.

Kevin Cole, Director of Data and Analytics at RotoGrinders, joins the show to talk the 2018 NFL season. He tells us about his Bayesian model for projecting young quarterbacks and how it sees Jimmy Garappolo, Dak Prescott, Carson Wentz and Jared Goff. Kevin also gives predictions for DFS (a receiver to target) and the NFL (team that won't make the playoffs).