The Michigan Wolverines (7-3) and the North Carolina Tar Heels (8-4) square off in the Jumpman Invitational on Wednesday night at 7 p.m. ET. North Carolina is favored by 5.5 points at Caesars Sportsbook, while the over/under is set at 155 (see up-to-date odds for every game this week on our college basketball odds page). 

Before making any Michigan vs. North Carolina picks, you NEED to check out the college basketball predictions from the SportsLine Projection Model.

The SportsLine Projection Model simulates every Division I college basketball game 10,000 times. The model enters Week 7 of the 2022-23 college basketball season on a strong 19-12 roll on all-top rated CBB picks, returning more than $200. Anybody who has followed it has seen profitable returns. 

The model knows Michigan has an effective offense that puts multiple scorers on the floor. The Wolverines are fifth in the Big Ten in scoring (77.4) and seventh in field-goal percentage (.460). Three Wolverines average more than 10 points per game, led by junior center Hunter Dickinson. Dickinson is a long and strong scorer in the paint. The Virginia native is second in the conference in points (19.1) and third in rebounds (8.4). 

The model also knows North Carolina is one of the top-scoring teams in the ACC. The Tar Heels head into this battle first in the conference in points per game (81.6) and second in rebounds (40.4). Senior forward Armando Bacot is a force down low. Bacot has broad shoulders and can power his way through defenders. The Virginia native ranks fourth in the ACC in scoring (17.5) and first in rebounds (11.6). 

Now, the model has set its sights on Michigan vs. North Carolina. It is leaning Under on the total and it also says one side hits well over 60% of the time! You ABSOLUTELY need to see it before locking in any college basketball picks.

So who wins Michigan vs. North Carolina? And which side hits well over 60% of the time? Join SportsLine now to find out, all from the model that has crushed its top-rated college basketball picks against the spread!