Things heat up in the ACC this weekend when the Virginia Cavaliers and the North Carolina Tar Heels face off at 7:30 p.m. ET on Saturday at Kenan Memorial Stadium. North Carolina shrugged off its problems from Week 1 to respond with a monster win against Georgia State last weekend. Virginia is looking to keep pace with Virginia Tech and Pitt in the Coastal Division with its third win. UNC needs to make up some ground in the Coastal as well following its season-opening loss to the Hokies. The Cavaliers aren’t going to make it easy, as they have have averaged over 550 yards on offense in each of their first two games.
The Tar Heels are favored by eight points in the latest North Carolina vs. Virginia odds from Caesars Sportsbook, and the over-under is set at 66.5. Before locking in any Virginia vs. North Carolina picks, you’ll want to see the college football predictions from the model at SportsLine.
The SportsLine Projection Model simulates every FBS college football game 10,000 times. Over the past five-plus years, the proprietary computer model has generated a stunning profit of over $3,500 for $100 players on its top-rated college football picks against the spread. It also enters Week 3 of the 2021 season on a 67-50 run on all top-rated college football picks. Anyone who has followed it has seen huge returns.
Now, the model has set its sights on North Carolina vs. Virginia and just revealed its picks and predictions. You can head to SportsLine now to see the model’s UNC vs. Virginia picks. Here are several college football odds and betting lines for North Carolina vs. Virginia:
- North Carolina vs. Virginia spread: North Carolina -8
- North Carolina vs. Virginia over-under: 66.5 points
- North Carolina vs. Virginia moneyline: North Carolina -320, Virginia +250
- VIR: 4-0 overall In last four meetings with UNC; 4-0 against the spread
- UNC: 8-1 overall as a home favorite since 2019; 5-3-1 ATS
Featured Game | North Carolina Tar Heels vs. Virginia Cavaliers
What you need to know about North Carolina
North Carolina bounced back from a disappointing Week 1 and took out its frustrations on Georgia State last weekend. The Heels put a hurting on the Panthers at home to the tune of 59-17. The contest was all but wrapped up at the end of the third quarter, by which point UNC had established a 45-10 advantage.
Quarterback Sam Howell had a dynamite game for UNC, passing for three touchdowns and 352 yards on 29 attempts in addition to rushing for two touchdowns and 104 yards. Near the top of the highlight reel was Howell’s 57-yard TD bomb to WR Antoine Green in the first quarter. Howell is going to need to be on top of his game again this week, as his offensive line has already allowed eight sacks over its first two games, while Virginia has only allowed opponents to complete 55-percent of their passes.
What you need to know about Virginia
Virginia really established itself as one of the ACC’s top offenses last week, with 557 yards against Illinois last Saturday. Quarterback Brennan Armstrong had a stellar game for Virginia as he passed for five touchdowns and 405 yards on 36 attempts, in addition to 31 rushing yards.
Although the Cavs have had a host of players taking handoffs in the backfield, the offense is all about the pass. Keytaon Thompson and Billy Kemp each have ten receptions, and redshirt sophomore Dontayvion Wicks leads all UVA pass-catchers with 163 yards so far this season. Defensively, Virginia is tied for 17th in the nation in yards per passing attempt, and have kept opposing passers to just 5.1 yards per attempt.
How to make North Carolina vs. Virginia picks
The model has simulated North Carolina vs. Virginia 10,000 times and the results are in. We can tell you that the model is leaning over on the point total, and it’s also generated a point-spread pick that is hitting in over 50 percent of simulations. You can only see the model’s pick at SportsLine.
So who wins North Carolina vs. Virginia? And which side of the spread is a must-back? Visit 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, and find out.
