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    Advanced computer model locks in picks for North Carolina vs. Virginia Tech, Week 8 2019

    The SportsLine projection model has a pick for the clash between North Carolina and Virginia Tech. Here are the results:
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    Get ready for an ACC battle as the Virginia Tech Hokies and the North Carolina Tar Heels will face off at 3:30 p.m. ET on Saturday at Lane Stadium/Worsham Field. The Tar Heels are favored by 3.5 points in the latest Virginia Tech vs. North Carolina odds, while the Over-Under is set at 57. Before you make any North Carolina vs. Virginia Tech picks, you'll want to see the college football predictions from the SportsLine Projection Model.

    The SportsLine Projection Model simulates every FBS college football game 10,000 times, and those who have followed it have seen huge returns. Over the past four-plus years, the proprietary computer model has generated a stunning profit of over $4,200 for $100 players on its top-rated college football picks against the spread. The model enters Week 8 of the 2019 season on a strong run, going 80-51 on its top-rated college football picks. It also called Texas (+11) staying within the spread against Oklahoma and Alabama (-17) covering against Texas A&M in two of the biggest games last week. Anybody who has been following it is way up.

    Now, it has simulated Virginia Tech vs. North Carolina 10,000 times and the results are in. We can tell you that the model is leaning Under, and it also says one side of the spread has all the value. You absolutely need to see it before locking in your own picks.

    So who wins Virginia Tech vs. North Carolina? And which side of the spread has all the value? ...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... If you're already a member, see the picks below!

    GET VEGAS EXPERT PICKS FOR NFL, MLB, NBA, CBB, GOLF, NHL, HORSE RACING AND MORE - PLUS ADVANCED COMPUTER SIMULATIONS, WINNING TOOLS, AND MORE!

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    SportsLine Staff

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