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North Carolina vs. Syracuse odds, line: 2025 college football picks for Week 10 predictions from proven model

SportsLine's model has locked in its best bets for Friday's ACC game between the North Carolina Tar Heels and Syracuse Orange

ByPublished: Oct 31, 2025 8:35PM UTC . 2 min read

Teams looking to get back into the win column meet when the North Carolina Tar Heels battle the Syracuse Orange in Atlantic Coast Conference action on Friday. North Carolina is coming off a 17-16 overtime loss to Virginia last Saturday, while Syracuse dropped a 41-16 decision to Georgia Tech that same day. The Tar Heels (2-5, 0-3 ACC), who have dropped four in a row, are 1-2 on the road this season. The Orange (3-5, 1-4 ACC), who have lost four consecutive games, are 2-2 on their home field in 2025.

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Kickoff from JMA Wireless Dome in Syracuse, N.Y., is at 7:30 p.m. ET. North Carolina leads the all-time series 4-3, including a 2-1 edge in games played at Syracuse. The Orange are 1.5-point favorites in the latest North Carolina vs. Syracuse odds, while the over/under for total points scored is 44.5 via SportsLine consensus.

Before making any North Carolina vs. Syracuse 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 over $2,000 for $100 players on its top-rated college spread football picks, and it enters Week 10 on a profitable 47-33 combined run on money-line and over/under picks since the beginning of 2024. Anyone following could have seen impressive returns.

The model has simulated North Carolina vs. Syracuse 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 in well over 50% of simulations.

So who wins North Carolina vs. Syracuse, 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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