Members: The most complete Super Bowl contender

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Podcast: Rob Pizzola on NFL analytics

On this episode of The Football Analytics Show, I talk with Rob Pizzola, a professional sports bettor that uses football analytics in his NFL handicapping.

Among other topics, we discuss:

  • how Rob’s team and play based NFL models work (2:24)
  • the ratio he uses in deciding whether to bet or fade teams (14:20)
  • how to deal with fast rising teams like Baltimore (15:00)
  • a bold prediction for the NFC East (19:37)
  • the often criticized NFL QB that he thinks is underrated (25:15)
  • the evolving sports betting market (29:28)

Rob has great NFL insights that you can trust because of his profession as a sports bettor. Check out his NFL periscopes on Sunday morning on his Twitter feed.

You can donate to Rob’s fundraiser for diabetes research here.

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Podcast: 3 college football games for Thanksgiving, 2019

It’s Thanksgiving week, and in this episode of The Football Analytics Show, I break down 3 big college football games.

  • Ohio State at Michigan (0:23)
  • Wisconsin at Minnesota (3:08)
  • Alabama at Auburn (6:27)

At the end, I talk about some non-football things (books, YouTube channel) that I’ve really enjoyed this fall. Listen at 9:04.

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The Football Analytics Show is also available on Apple Podcasts, Google Podcasts, Spotify and Stitcher.

Members: How the college football predictions work

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Podcast: Michael Salfino on NFL analytics

On this episode of The Football Analytics Show, Michael Salfino, a writer whose work appears in FiveThirtyEight, The Athletic and the Wall Street Journal, joins me to talk NFL analytics.

Among other topics, we discuss:

  • how to get a fantasy sports column syndicated in newspapers (5:01)
  • how he initiated the Massey-Peabody football rankings (10:46)
  • the approach for stopping Lamar Jackson that no team has used this year (15:07)
  • the long history of the key statistic Michael uses to evaluate NFL teams (24:00)
  • the teams Michael sees as primary Super Bowl contenders (28:18)

We end a with a great discussion on books, food and movies (32:06).

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To listen on Apple Podcasts, click here.