Austin Mock on Muck Rack

Austin Mock

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As seen in: The Athletic, The New York Times, Yahoo Sport UK, Yahoo Sports, Yahoo Sports Australia, Yahoo Sports Canada, The Salt Lake Tribune, The Spokesman-Review, Basketball RealGM, Football Realgm, IMPACT+ and
NFL & CFB projections, draft analytics, and Rev Share/NIL modeling for @TheAthletic. The game isn't played on a spreadsheet — but it helps to have one. 📊
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Articles

Should Falcons, Lions balk at handing Bijan Robinson, Jahmyr Gibbs record-setting deals?

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By Austin Mock Verified
| The Athletic Verified
If NFL fans have heard it once, they’ve heard it a 1,000 times: “Don’t pay running backs!” You know the reasons — they don’t always age gracefully; teams can find cheap replacements in the NFL Draft — and you’ve been warned by the cautionary tales (Todd Gurley and Ezekiel Elliott). And yet, we’re on the precipice of not one, but perhaps two running backs preparing to upend the market.
Open in Who Shared Issue with article?

College football preseason top-25 rankings for 2026: Man vs. Machine Original

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By Sam Khan Jr. Verified, Austin Mock Verified
| The Athletic Verified
With less than 90 days until college football returns, kickoff feels simultaneously so close yet so far away. Sam Khan Jr., who covers college football roster construction and the transfer portal, and Austin Mock, our analytics expert, each ranked their own post-spring top 25 to compare. One originates from roster talent evaluation and intel, the other from a statistical projection model. Whose top 25 do you like better? Here’s a look at each, starting with Sam’s.
Open in Who Shared View Duplicates (2) Issue with article?

Super Bowl LXI odds, playoff projections for every NFL team. Will Seahawks repeat?

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By Austin Mock Verified
| The Athletic Verified
After all the rumors and leaks, we finally have the 2026 NFL schedule etched in stone, which means it’s time to make some (way-too-early) predictions. For that, we’ll simulate the season 100,000 times using my NFL Projection Model to see who is most likely to come out on top. The model works by projecting how a team performs compared to league average. Using this projection, we are then able to predict a winner for every game on the schedule.
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