2026 College Football Preseason Rankings Breakdown
· news
Breaking Down Final Preseason SP+ Rankings for 2026
The annual ritual of preseason college football rankings has begun, and with it, the inevitable backlash from coaches and fans who insist that these numbers are meaningless until actual games have been played. SMU’s Rhett Lashlee is just the latest to rail against the idea of projecting team performance before a single snap has been taken.
Lashlee’s argument – that preseason rankings are arbitrary and based on incomplete information – misses the point. The computers, specifically SP+ and FPI, have become increasingly sophisticated in their ability to make accurate predictions about team performance throughout a season. They offer a valuable snapshot of where teams stand before the games begin.
The data from last year’s SP+ projections is telling: seven out of 15 projected top teams finished within one win of their August projections, while others overachieved or underachieved in significant ways. This suggests that preseason rankings can be a useful guide for understanding which teams will emerge as contenders and which are likely to struggle.
Preseason rankings like SP+ capture the essence of a team’s underlying strength rather than simply rewarding past success or punishing past failure. They take into account prior performance, which remains relatively stable even with roster turnover. This is why computers have become surprisingly good at identifying teams that will overachieve or underachieve.
The limitations of human judgment are also evident in preseason rankings. While the CFP committee should consider both prior performance and projected strength when evaluating teams for playoff contention, relying too heavily on past success can lead to strange omissions and inclusions.
This year’s preseason SP+ projections seem to bear out many of the usual suspects – Alabama, Clemson, Ohio State, and Oklahoma are all firmly entrenched in the top 10. However, there are also some surprises lurking beneath the surface. The computers have Tennessee as a dark horse contender, while Michigan is projected to struggle despite its strong recruiting class.
The Group of 5 teams also offer some interesting storylines. UNLV and North Dakota State are both projected to make some noise in their respective conferences. As we head into the season, it’s worth keeping in mind that preseason rankings are not predictions about ultimate success or failure but rather a snapshot of where teams stand before the games begin.
By taking the numbers into account, we can get a better sense of which teams are likely to emerge as contenders and which may be due for a disappointment. So let’s not dismiss preseason rankings quite so quickly – they may just give us a glimpse into what’s in store for this season.
Reader Views
- ADAnalyst D. Park · policy analyst
The 2026 preseason rankings may be just another exercise in hype for college football fans, but from a policy analyst's perspective, they're actually a fascinating case study on the effectiveness of predictive modeling. One often-overlooked aspect is how these rankings influence coaching decisions and roster moves throughout the season. Coaches like Rhett Lashlee may rail against preseason predictions, but in reality, they can serve as a useful tool for identifying areas where teams need to improve – and allocating resources accordingly.
- CSCorrespondent S. Tan · field correspondent
One notable shortcoming of SP+ projections is their inability to account for true freshman impact on team performance. Historically, top recruits and their immediate teammates often struggle with adjusting to college-level play, yet SP+ models tend to gloss over this critical variable in their rankings. It's not just about the numbers; it's also about timing. When can a young quarterback or running back adapt to the faster pace of college football? The answer may not be reflected in preseason projections, but it could make all the difference come playoff time.
- CMColumnist M. Reid · opinion columnist
While SP+ and FPI have undoubtedly improved their predictive abilities, we mustn't forget that these models are still built on historical data and can perpetuate existing biases in college football's recruiting landscape. For instance, programs with deep pockets for luxury amenities or those who've established a strong network of feeder high schools often receive disproportionate credit from these systems, giving them an edge over more resource-constrained institutions. This is where human intuition, rather than algorithmic rankings, comes into play – evaluating teams on their actual talent and performance rather than just their brand name and reputation.