Teams that have struggled of late meet in Big Ten action when the Ohio State Buckeyes face the Michigan Wolverines on Monday in an MLK Day matinee. The Buckeyes (12-4, 2-3 Big Ten), who have lost three of their last four Big Ten matchups, are 0-2 on the road in conference play. The Wolverines (6-10, 1-4 Big Ten), who have lost their last five games and eight of 10, are 0-2 at home this season in Big Ten play. No. 15 Wisconsin beat Ohio State 71-60 on Wednesday, while Maryland defeated Michigan 64-57 on Thursday.
The game from the Crisler Center in Ann Arbor, Mich., starts at noon ET. Ohio State is averaging 77 points per game, while Michigan averages 80.1. The Wolverines are 1.5-point favorites in the latest Ohio State vs. Michigan odds via SportsLine consensus, while the over/under for total points scored is 146. Before making any Michigan vs. Ohio State picks, be sure to see the college basketball predictions from SportsLine’s proven model.
The model simulates every Division I college basketball game 10,000 times. It enters Week 10 of the 2023-24 season on a 105-69 roll on all top-rated college basketball picks dating back to last season, returning more than $2,000 for $100 players. It is also off to a fast 12-5 start on top-rated spread picks this season. Anyone following has seen huge returns.
The model has set its sights on Ohio State vs. Michigan. You can head to SportsLine now to see the picks. Now here are the latest betting trends and lines for Michigan vs. Ohio State:
- Ohio State vs. Michigan spread: Michigan -1.5
- Ohio State vs. Michigan over/under: 146 points
- Ohio State vs. Michigan money line: Michigan -123, Ohio State +103
- OSU: The Buckeyes have hit the team total Under in 10 of their last 16 road games (+3.10 units)
- MICH: The Wolverines have hit the game total Over in 15 of their last 20 games at home (+9.50 units)
- Ohio State vs. Michigan picks: See picks at SportsLine
Why Ohio State can cover
Sophomore guard Roddy Gayle Jr. is one of three Buckeyes averaging double-digit scoring. In 16 starts, he is averaging 14.2 points, 5.3 rebounds and 3.1 assists in 31.3 minutes of action. He has scored 10 or more points 11 times, including three games of 20 or more points. Gayle scored a season-high 32 points in a 78-75 overtime win over West Virginia on Dec. 30.
Sophomore guard Bruce Thornton has had five games of 20 or more points, and is averaging a team-best 16.6 points per game. He is also averaging 4.4 assists per game and has registered 21 steals in 16 games. In last week’s loss to Wisconsin, he scored 13 points on 6 of 16 shooting, and dished out six assists, one shy of his career high. He scored a career-high 29 points in a 92-81 win over Alabama on Nov. 24. See who to back at SportsLine.
Why Michigan can cover
Sophomore guard Dug McDaniel leads the Wolverines, averaging 17.8 points, 5.1 assists, 4.1 rebounds and one steal per game. He is coming off an 11-point and five-assist performance in a 79-73 loss to Penn State on Jan. 7. He was unable to play at Maryland due to his team suspension. McDaniel has scored 33 points in two games this season, including in a 106-101 double-overtime loss to Florida on Dec. 19.
Also helping Michigan is senior forward Olivier Nkamhoua. He is in his first season with the team after spending four years at Tennessee. In 16 starts for the Wolverines, he is averaging 16.9 points, 7.6 rebounds and 2.6 assists in 33.8 minutes of action. He has registered four double-doubles, including a 24-point, 11-rebound effort in the loss to Florida. See who to back at SportsLine.
How to make Ohio State vs. Michigan picks
The model has simulated this matchup 10,000 times and the results are in. The model is leaning Over the total, and it also says one side of the spread is the better value. You can only see the picks at SportsLine.
So who wins Michigan vs. Ohio State, and which side of the spread is the better value? Visit SportsLine now to find out which side of the spread you need to jump on, all from the model that is on a 105-69 roll on its top-ranked college basketball picks, and find out.
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