fbpx

Big Ten Football Preview: Michigan Wolverines vs. Ohio State Buckeyes

Ohio State Big Ten Football  

Michigan Wolverines vs. Ohio State Buckeyes

The Michigan Wolverines and the Ohio State Buckeyes will both be gunning for a victory on Saturday when they meet at Ohio Stadium. Oddsmakers currently have the Buckeyes listed as 4½-point favorites versus the Wolverines, while the game’s total is sitting at 54. Last time out for Michigan, they were a 42-17 winner as they battled Iowa at home. Michigan covered in the match as a 17-point favorite, while 59 combined points moved the game OVER for totals bettors. The Buckeyes were a 21-14 winner in their most recent outing on the road against Wisconsin. They covered the 1-point spread as underdogs, while the total score (35) made winners of UNDER bettors.

College Football Betting Trends

Current streak: Michigan has won 3 straight games. OSU has won 11 straight games. Team records: Michigan: 8-3 SU, 5-6 ATS OSU: 11-0 SU, 6-5 ATS

Michigan Wolverines most recently:

When playing in November are 7-3 When playing on turf are 8-2 After outgaining opponent are 8-2 When playing within the conference are 9-1

Ohio State Buckeyes most recently:

When playing in November are 7-3 When playing on turf are 9-1 After being outgained are 6-4 When playing within the conference are 7-3

A few trends to consider:

Michigan is 6-1 SU in its last 7 games The total has gone OVER in 5 of Michigan’s last 7 games when playing on the road against Ohio State The total has gone UNDER in 6 of Michigan’s last 9 games on the road The total has gone OVER in 6 of Michigan’s last 9 games when playing Ohio State OSU is 5-0 SU in its last 5 games Ohio State is 5-0 SU in its last 5 games at home OSU is 5-0 SU in its last 5 games when playing at home against Michigan OSO is 7-1 SU in its last 8 games when playing Michigan Get all your College Football Odds as well as a 50% bonus on every deposit at BetOnline Sportsbook.
0 0 votes
Article Rating
Subscribe
Notify of

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x