NFL Trades Driven By Data, Unpredictable Season - Episode Hero Image

NFL Trades Driven By Data, Unpredictable Season

Original Title: NFL and More With Football Data Scientist Tej Seth | Sponsored by Novig

Resources

Resources & Recommendations

People Mentioned

  • Jay Croucher - Discussed in the previous podcast episode regarding early Seattle predictions and future markets.
  • Sean Zerillo - Mentioned for his baseball insights, specifically regarding the Seattle Mariners and their GM's strategy at the trade deadline.
  • Eric Eager (Carolina Panthers, formerly Pro Football Focus and Sumer Sports) - Tej Seth's former boss and mentor, who moved from Pro Football Focus to Sumer Sports and then to the Carolina Panthers.
  • Mike Leach - Referenced as a coach known for his high-volume passing offenses, which Tej Seth believes NFL teams should emulate.
  • Andy Reid - Mentioned as an ideal head coach for a pass-heavy team, particularly due to his understanding of pass rate.
  • Sean McVay - Mentioned as an ideal head coach for his amazing passing concepts.
  • Jimmy Johnson - Referenced in the context of Jerry Jones's ego leading to his firing.
  • Jerry Jones (Dallas Cowboys owner) - Discussed regarding owner involvement in team decisions and his desire for football control.
  • Clint Kubiak (Seattle Seahawks offensive coordinator) - Mentioned in the context of how the Shaheed trade might impact his offensive strategy.
  • Dan Quinn - Discussed in the context of coaching malpractice for keeping Jalen Daniels in a game when the team was significantly behind.

Organizations & Institutions

  • Novig - The sponsor of the podcast, described as a sports prediction market.
  • Pro Football Focus (PFF) - Tej Seth's former employer during college.
  • Sumer Sports - Eric Eager's company, where Tej Seth worked after graduating.
  • Michigan Football Analytics Society - A club at the University of Michigan where Tej Seth learned about advanced football metrics.

Websites & Online Resources

  • Polymarket - A prediction market mentioned for its odds on political elections, specifically the mayoral race.

---
Handpicked links, AI-assisted summaries. Human judgment, machine efficiency.
This content is a personally curated review and synopsis derived from the original podcast episode.