Colin Davy, director of data science at The Action Network, joins me to discuss sports analytics and predictions for the Masters. We start with the methods he has developed to rank tennis players and now applies to golf. Then Colin tells us whether a large or small playbook leads to better offense in football. Finally, we talk about the Masters, which includes the difficulty in predicting Tiger Woods and the one golfer to keep an eye on this weekend.
Adam Stanco, producer at the Pac-12 Network and hoops expert, joins me to talk March Madness. We focus the show on team that can win the 2018 tournament, as the choice of champion is the most important for winning your pool. This second part covers Michigan State, North Carolina, Kansas, Michigan and two other teams Adam finds intriguing.
Adam Stanco, producer at the Pac-12 Network and hoops expert, joins me to talk March Madness. We focus the show on teams that can win the 2018 tournament, as the choice of champion is the most important for winning your pool. This first part goes over Villanova, Virginia, Duke and Cincinnati.
Live by the three, die by the three. The conventional wisdom says that teams that shoot a lot of three point shots have high variability in their performance. This makes it difficult to win the NCAA tournament. In 2014, I did some research that suggested 3 point shooting teams do not win the tournament. However, college basketball has changed in the last 4 years, and we revisit this advice.
In this special episode, we tell the story behind predicting March Madness. The tournament might seem random, but there is a good reason for this public perception. In reality, the tournament is predictable in key ways, and this can help you win your March Madness pool. Join us on this journey from skeptic to winner.
Ken Pomeroy, a pioneer in college basketball analytics and founder of kenpom.com, joins me for a wide ranging discussion. He tells us how his college basketball rankings work, what aspects of 3 pointers a team controls on offense and defense, and how predicting the weather prepared him for college basketball.
In this 7 minute episode, Ed Feng previews the Super Bowl by comparing Philadelphia to recent team that played in the Super Bowl. In making this comparison, he digs into Philadelphia's pass numbers with QB Nick Foles, and New England's pass defense the latter part of the season.
Brian Burke, Senior Analytics Specialist at ESPN, joins me for a wide ranging football conversation. We discuss the 4th down study he did at his old site Advanced Football Analytics. He tells us how to project Jimmy Garappolo on a limited sample size and his prediction for the Super Bowl. We end with his favorite book and the value of reading the news.
Evan Silva, senior NFL editor at RotoWorld, joins me to discuss the analytics in breaking down the NFL conference championship games. He tells us about the one weakness in Jacksonville's defense that New England could exploit, as well as the change on Minnesota's offense last week that might impact the game at Philadelphia. After the interview, host Ed Feng tells the story of the unsung hero on Jacksonville's defense.
Professor Cade Massey of the Wharton School at the University of Pennsylvania joins the show to talk NFL playoffs. We discuss the most predictive factor in the Massey-Peabody model, do a deep dive into Atlanta's defense, and how New England's defense excels in some ways yet fails in others.
John Ewing from Sports Insights and The Action Network joins me to talk football analytics. We discuss predictions for the NFL Wildcard Playoff games as well as two Super Bowl futures. Then we talk about the hidden factor that can affect the total in the college football championship game between Georgia and Alabama. After the interview, I talk about my spread prediction for this championship game and the inherent uncertainty in making predictions.