
Clemson vs. North Carolina: Odds and Predictions for February 2025 Matchup
A detailed overview of the upcoming college basketball game between Clemson Tigers and North Carolina Tar Heels, including odds, predictions, and player highlights.
The Clemson Tigers (19-5) will host the North Carolina Tar Heels (14-10) in an important ACC matchup on Monday night. The Tar Heels have just ended a two-game losing streak, having bested Pittsburgh 67-66 in their last outing. On the other hand, Clemson has been on a hot streak, winning seven of their last eight games, including a victory over No. 2 Duke 77-71 on February 8.
Game Details:
- Tipoff: 7 p.m. ET at Littlejohn Coliseum
- Odds: Clemson -5.5, Over/Under 146 points
Why Clemson Can Cover
Chase Hunter, a senior guard, is playing exceptionally well. He leads his team in scoring with an average of 17.5 points per game while also contributing three rebounds and 2.5 assists. He has made 43% of his three-point attempts recently.
Ian Schieffelin, a senior forward, is a dominant presence in the paint, leading Clemson in rebounds with an average of 9.5 per game. Schieffelin is also averaging 12.8 points and has recorded nine double-doubles this season.
Why North Carolina Can Cover
RJ Davis, the senior guard for North Carolina, carries a scoring average of 17.4 points per game, making him the top scorer for the Tar Heels. He recently put up 22 points against Boston College, showcasing his ability to deliver under pressure.
Seth Trimble, a junior guard, is another key player to watch, averaging 12.3 points, 5.4 rebounds, and 1.4 steals per game. He recently had a standout performance with 15 points and seven rebounds against Pittsburgh.
Betting Insights
- Spread: North Carolina vs. Clemson spread: Tigers -5.5
- Over/Under: 146 points
- Moneyline: Tigers -253, Tar Heels +204
Conclusion
With both teams carrying momentum into this matchup, it will be crucial to see how the odds shift as game time approaches. For those betting, stay tuned for more insights and predictions from the SportsLine Projection Model.