Lindenwood vs. Eastern Illinois prediction: Why Eastern Illinois is favored to win in college football Week 7 [2026]

Using trusted machine learning and data, we have re-simulated the result of Lindenwood vs. Eastern Illinois, forming part of our college football predictions coverage.

Our independent predictive model currently gives Eastern Illinois a 55.7% chance of beating Lindenwood. Our predicted final score has Eastern Illinois winning 26-23. According to our model, Eastern Illinois (+1.5) has a 60.9% chance of covering the spread, while the 49.5-point over/under has a 52.0% 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: Lindenwood -1.5 (-141) / Eastern Illinois +1.5 (-150)
• Moneyline: Lindenwood +106, Eastern Illinois -111
• Total: Over/Under 49.5 (-113/-106)

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 available 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: Eastern Illinois +1.5 @ 60¢ via Novig
• Moneyline: Eastern Illinois @ 53¢ via Novig
• Total: Over 49.5 @ -113 via Caesars

According to our college football best bets, the top play to make on this game is Eastern Illinois to win.

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 Eastern Illinois and Lindenwood at O'Brien Field is scheduled to start at 3:00 PM ET.

• Who: Lindenwood vs. Eastern Illinois
• Date: Saturday, October 17, 2026
• Time: 3:00 PM ET/12:00PM PT
• Venue: O'Brien Field

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Conclusion

We predict Eastern Illinois, with a 55.7% win probability, will likely beat Lindenwood 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.