The 2025–2026 college football season delivered more chaos than ever. With all the transfer portal movement this has reshaped the landscape and left many bettors guessing week to week.

For Rithmm users it was a different story.

Rithmm’s College Football House Model finished the season up +33.74 units across all bet types. In professional betting circles a season of this magnitude is considered elite. It was not driven by a handful of lucky outcomes or high risk parlays. It was the result of a model that stayed disciplined across hundreds of games.

To put the performance into perspective a bettor using a standard one hundred dollar unit size would have finished the season up three thousand three hundred seventy four dollars.

This was consistency at scale.

Breaking Down the Season Performance

The Rithmm House Model is the default starting model available to every user on the platform. It is designed to provide a strong baseline for college football betting decisions before any customization.

This season that baseline proved it could compete with the market across every major bet type.

Against the spread the model went 140-111 for a 55.8% win rate. In professional betting a sustained edge above 54% is considered exceptional. Maintaining nearly 56% across more than 250 spread bets shows the model consistently priced margins better than the sportsbooks.

Totals were a high volume success story. Across 600+ total bets the model finished 325-284 generating 11.13 units of profit. Staying profitable at that scale is difficult and highlights the model’s ability to handle full Saturday slates without breaking down.

The moneyline results tell an equally important story. While the raw win rate finished below fifty percent the model still produced 5.07 units of profit. This is because the House Model is designed to identify mispriced underdogs rather than simply chase favorites. In college football value matters more than win percentage and the moneyline performance reflected that clearly.

What Actually Drove the Edge

Looking deeper into the data reveals why the model was able to outperform over the full season.

Home teams against the spread finished up 33.74 units. Home underdogs alone produced 19.90 units. Unders also played a major role finishing up 17.26 units overall including another 17.26 units in games with totals over forty five.

Games involving Power 4 programs were another key driver. Across all bet types those matchups delivered 38.83 units of profit. These were environments with deeper data stronger markets and more reliable pricing inefficiencies.

These were not short term trends. They were patterns that held across the entire college football season.

The Floor Not the Ceiling

One of the most important takeaways from this performance is that these results represent the baseline.

The 33.74 unit return came from the default Rithmm House Model before users applied any customization. Many Rithmm users take this foundation and layer in their own preferences and expertise to build models tailored to specific conferences teams or bet types.

In other words this was the floor not the ceiling.

Why This Matters Heading Into the Championship Game

The college football season comes down to one final game on Monday January 19 when Miami and Indiana face off in the National Championship.

Big games attract big opinions and emotional betting. The full season data suggests a more disciplined approach performs better.

Models that focus on probability context and pricing rather than narratives consistently outperformed over the course of the year. That same approach applies to the biggest game on the schedule.

Get the Championship Edge With Rithmm

Rithmm gives bettors access to the same CFB House Model that delivered a 33.74 unit season along with tools to validate ideas or follow recommendations depending on how you like to bet.

New users can start with a free 7 day trial and get access to the official House Model for the National Championship plus full coverage across NFL,NBA, College Basketball, PGA Golf and then we move right into MLB and WNBA.

The season proved one thing clearly. Guessing is expensive. Disciplined model driven betting works.

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