AI Analytics College Football

Week 8 shook up college football. Maya and Trey break down the biggest upsets, BYU and Texas Tech's losses, Miami's unbeaten run, and what it all means for the College Football Playoff heading into Week 9.

Week 7 shook up college football, with five of the top seven teams falling.

Maya and Trey break down the biggest upsets, surprising performances, and what the results mean for conference races and the College Football Playoff.

Which contenders are still legitimate, which teams are being overrated, and what should we expect heading into Week 8?

Week 6 shook up the college football picture. But which results actually changed the race, and which ones were just noise?

Maya and Trey break down Oklahoma's 27–24 win over Texas, Georgia's 20–17 victory over Alabama, Kentucky's overtime upset of LSU, and UCLA's turnover-fueled win over Oregon.

They also revisit ten predictions from last week, examine Missouri's statement against Texas A&M, Florida's continued struggles, and what the quieter weekends for Notre Dame, Ohio State, Indiana, and USC really mean.

Then it's on to Week 7: the matchups, warning signs, and on-the-record predictions that matter next.

Deep numbers. Simple football talk.

Week 5 is in the books, but not every big score means the same thing. Maya and Trey break down which results actually changed the college football picture, which teams strengthened their case, and which performances deserve a closer look beneath the final score.

Then they turn to what matters next, the matchups that could expose real strengths and weaknesses, and the teams whose records may not tell the whole story.

Deep numbers. Simple football talk.

Week 4 is in the books, but the scores only tell part of the story. Maya and Trey break down which results actually changed the college football picture, which teams strengthened their case, and which performances deserve a closer look beneath the final score. Then they turn to the next slate, dig into the matchups that could expose real strengths and weaknesses, and put their predictions on the record. Deep numbers, simple football talk, and no overreaction to one Saturday.

Week 3 gave us plenty of scores. Maya and Trey are more interested in what actually changed.

They break down Kentucky vs. Texas A&M, Ole Miss vs. LSU, Alabama vs. Florida State, Louisville vs. SMU, Georgia vs. Arkansas, and more. Which performances are sustainable? Which teams are moving up?

AI Analytics doesn't tell you what happened. It measures what happened, adjusts for who it happened against, and tells you what is most likely to happen next.

Week 2 gave us results. The harder question is what those results actually changed.

Maya and Trey break down the biggest signals from the weekend, including Texas' comeback against Ohio State, Oklahoma State's upset of Oregon, Michigan's response against Oklahoma, and what the underlying numbers say about the teams that moved the most.

Which performances were real? Which were noise? And which teams should we be looking at differently after Week 2?

AI Analytics goes beyond the scoreboard to measure what happened, adjust for context and opponent quality, and figure out what it means going forward.

Week 1 gave us results. Now it's time to figure out which ones actually matter.

Maya and Trey break down the signals, noise and misleading takeaways from the opening week of college football, then turn those lessons toward Week 2. They examine quarterback performance, opponent-adjusted results, matchup advantages, teams the public may be misreading and the numbers that could point toward what's coming next.

This isn't a recap of everything that happened. It's an attempt to determine what actually changed.

Production note: This episode features AI-generated host voices.