Presbyterian vs. Valparaiso prediction favors Valparaiso to win in college football Week 8 [2026]

Using innovative machine learning and data, we have re-simulated the outcome of Presbyterian vs. Valparaiso, forming part of our college football predictions coverage.

Our famous predictive model currently gives Valparaiso a 59.5% chance of beating Presbyterian. Our predicted final score has Valparaiso winning 30-26. According to our model, Valparaiso (+1.5) has a 67.8% chance of covering the spread, while the 58.5-point over/under has a 55.5% chance of staying under.

Latest betting odds

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

• Spread: Presbyterian -1.5 (+115) / Valparaiso +1.5 (-199)
• Moneyline: Presbyterian +122, Valparaiso -125
• Total: Over/Under 58.5 (+102/-104)

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: Valparaiso +1.5 @ 66¢ via Novig
• Moneyline: Valparaiso @ 56¢ via Novig
• Total: Under 58.5 @ 51¢ via Novig

According to our college football best bets, the top play to make on this game is Under 58.5 total points.

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 action between Valparaiso and Presbyterian at Brown Field is scheduled to start at 1:00 PM ET.

• Who: Presbyterian vs. Valparaiso
• Date: Saturday, October 24, 2026
• Time: 1:00 PM ET/10:00 AM PT
• Venue: Brown Field

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Conclusion

We predict Valparaiso, with a 59.5% win probability, will likely beat Presbyterian in Saturday's college football matchup.

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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.