The Football Analytics Show uses data and computers to make predictions on games and break down match ups. The show covers both college football and the NFL.
Drew Dinsick on Predicting NFL Conference Championship Games
Drew Dinsick, an NFL bettor who goes by Whale Capper on Twitter, joins the show to discuss the NFL. He describes how he uses his background in earthquake engineering to build an NFL predictive model, and how the inputs to the model have changed over the years. Then we get into the Conference Championship games. Tampa Bay visits Green Bay, and Drew lays out how the game will likely evolve. Buffalo visits Kansas City, and he identifies the injury that everyone should be talking about, not the one everyone is talking about. We end with a discussion of Mexican food, rocket science and closing line value.
Chris Andrews on Predicting the NFL Divisional Playoff
Chris Andrews, the director of the sportsbook at the South Point Casino in Las Vegas, joins me to talk about the NFL. He describes how he sets the market, and how numbers play a role. Then we dig into the four Divisional Playoff games:
Rams at Packers, and how injuries impact this game Ravens at Bills, and the impact of momentum Browns at Chiefs, and the Super Bowl prospects for the latter Bucs at Saints, and the hard to explain feeling about one team We end with a discussion of poker, books and Winston Churchill.
Fabian Sommer on Predicting the NFL Wild Card Playoff
Fabian Sommer, an NFL handicapper, joins the show to discuss the NFL Wild Card weekend. First, he describes this three part approach to evaluating games, the first of which involves analytics. Then he breaks down Rams at Hawks, Ravens at Titans and Browns at Steelers before giving another game with value. Throughout the conversation, he divides the contribution of an offense's success into quarterback vs coach and other players.
Professor Edward Egros on college football, NFL analytics
Professor Edward Egros of SMU joins me to talk football analytics, both college and pro. He tells us about the tools he uses and produces for college football, and how his NFL model differs. We get into the College Football Playoff and discuss Clemson vs Ohio State and Alabama vs Notre Dame. Finally, Edward discusses the Dallas Cowboys and their chances to win the NFC East.
Peter Bukowski on football analytics and the Green Bay Packers
Peter Bukowski, who hosts the Locked On Packers podcast and covers the Packers for SB Nation, joins me to talk NFL analytics. He tells us about how analytics informs his coverage and the model he has built to write his betting column. Then he gives us the key to transforming Aaron Rodgers and the Packers offense from mediocre to great. Analytics also plays a role in the defensive philosophy, which frustrates many fans. Finally, we talk about Tennessee at Green Bay in week 16 and the two teams Green Bay would least like to face in the playoffs.
Richard Johnson on College Football Championship Week, 2020
Richard Johnson, a college football writer whose work appears on the SEC Network, Washington Post and FiveThirtyEight, joins me to break down championship week. First, he tells us how analytics informs his coverage, and his beautiful description applies quite generally. Then Richard describes how to fix the lack of black head coaches in college football. Next, we break down Clemson vs Notre Dame, Alabama vs Florida and Ohio State vs Northwestern. Finally, we find a common love for the same cuisine.