Tulane vs. Rice prediction: Why Rice is favored to win in college football Week 11 [2026]

Using trusted machine learning and statistical analysis, we have re-simulated the result of Tulane vs. Rice, forming part of our college football predictions coverage.

Our independent predictive model currently gives Rice a 61.0% chance of defeating Tulane. Our predicted final score has Rice winning 26-23. According to our model, Rice (-3.5) has a 50.8% chance of covering the spread, while the over/under total of 48.5 points has a 54.1% chance of going over.

Latest betting odds

We have sourced the best college football odds in America for this game, which are listed here:

• Spread: Tulane +3.5 (-113) / Rice -3.5 (+111)
• Moneyline: Tulane +147, Rice -150
• Total: Over/Under 48.5 (-104/+100)

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Spread: Rice -3.5 @ 48¢ via Novig
• Moneyline: Rice @ 60¢ via Novig
• Total: Over 48.5 @ 51¢ via Novig

According to our college football best bets, the top play to make on this game is Rice -3.5 at the spread.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Saturday's college football matchup between Rice and Tulane at First Community Stadium is scheduled to begin at 4:30 PM ET.

• Who: Tulane vs. Rice
• Date: Saturday, November 14, 2026
• Time: 4:30 PM ET/1:30 PM PT
• Venue: First Community Stadium

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Conclusion

We predict Rice, with a 61.0% win probability, will likely beat Tulane in Saturday's college football matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary college football prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.