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The Football Analytics Show by The Power Rank and Ed Feng

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.
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The Football Analytics Show by The Power Rank and Ed Feng
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Now displaying: November, 2016
Nov 23, 2016

Michigan travels to Ohio State in one of the biggest college football games of the season.  Get my analysis of the game as well as my two teams on upset alert this week.

Nov 17, 2016

In this week's episode, I discuss the chaos of the college football weekend.  We see how the losses of Clemson, Michigan and Washington relate to both poker and US presidential election.

In the second story, we look at Cowboys rookie quarterback Dak Prescott and he was viewed before the NFL draft.  In addition, there are some interesting match ups in their game against Baltimore.

In the third story, we look at the college football playoff and how the committee gave the middle finger to Louisville.  Can the Cardinals still make the playoff?

Nov 10, 2016

Welcome to my second weekly episode using football analytics to predict games.

In this stories, I discuss the following

  • The sneaky truth about why Washington could lose to USC
  • The team no one is talking about for the college football playoff
  • The NFL QB injury that just might help a team
  • The real story behind Carolina's fall this season
  • The most difficult type of college football game to predict

Thanks for listening.

Nov 8, 2016

The Football Analytics Show looks at three stories this week, and you might be interested for the following reasons.

  • Why my public prediction of Ohio State over Nebraska by 8.4 is too low
  • Why Michigan will most likely win the Big Ten East over Ohio State
  • The NFL team on which the markets flipped this week
  • The key match up of strength on strength in Alabama at LSU
  • The break that the college football playoff committee gave Alabama

 

 

Nov 8, 2016

The Power Rank, a website devoted to better predictions through analytics, finally has a podcast!

This introduction podcast discusses the following:

  • Who should listen to The Football Analytics Show
  • How Ed Feng got started in sports analytics
  • The latest methods used to predict football games
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