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Washington vs. Michigan odds, line: 2025 college football picks for Week 8 predictions from proven model

SportsLine's model has locked in its best bets for Saturday's Big Ten game between the Washington Huskies and Michigan Wolverines

ByPublished: Oct 18, 2025 2:11PM UTC . 2 min read

The Washington Huskies will look to make it three in a row when they battle the Michigan Wolverines in a key Big Ten Conference matchup on Saturday. It will be a rematch of the 2023 National Championship Game. The Huskies (5-1, 2-1 Big Ten), who are coming off a 38-19 win over Rutgers, are 2-0 on the road this year. The Wolverines (4-2, 2-1 Big Ten), who dropped a 31-13 at USC last week, are 3-0 on their home field in 2025.

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Kickoff from Michigan Stadium in Ann Arbor, Mich., is at noon ET. Michigan leads the all-time series 9-6, including a 34-13 win in title game two years ago. The Wolverines are 4.5-point favorites in the latest Washington vs. Michigan odds, while the over/under for total points scored is 50.5 via SportsLine consensus.         

Before making any Washington vs. Michigan picks, be sure to check out the college football predictions and betting advice from the SportsLine Projection Model.

The model simulates every FBS game 10,000 times. Since its inception, it has generated a betting profit of well over $2,000 for $100 players on its top-rated college spread football picks, and is a profitable 39-27 combined on money-line and over/under picks since the beginning of 2024. Anyone following at sportsbooks and on betting apps could have seen STRONG returns!

The model has simulated Washington vs. Michigan 10,000 times and the results are in. We can tell you that the model is leaning Over, and it also says one side of the spread hits well over 50% of the time!

So who wins Washington vs. Michigan, and which side of the spread hits well over 50% of the time? Join SportsLine right now to see which side of the spread you need to jump on, all from the computer model that has crushed its college football picks!

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Daniel Kohn
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