See every side of every news story

Published 2 months ago • loading... • Updated 2 months ago

Top 25 College Hoops Picks Against the Spread - Sunday, January 12

There are five college basketball games featuring ranked teams on Sunday, January 12.
The Purdue Boilermakers are projected to win against the Nebraska Cornhuskers by 5.7 points.
Michigan is favored to beat Washington by 14.9 points according to computer predictions.
Penn State is predicted to narrowly defeat Oregon by 0.9 points in their matchup.

Insights by Ground AI

Does this summary seem wrong?

16 Articles

16 Articles

All

Left

1

Center

2

Right

8

The Advocate-Messenger

+15 Reposted by 15 other sources

Top 25 College Hoops Picks Against the Spread - Sunday, January 12

There are five games on the college basketball schedule on Sunday that feature a ranked squad. That includes the Oregon Ducks versus the Penn State Nittany Lions. We provide ATS picks for each contest in the article below. Place your bets on any men’s college basketball matchup at BetMGM. Sign up today using our link. AP Top 25 Picks ATS Today No. 20 Purdue Boilermakers vs. Nebraska Cornhuskers Spread Prediction Computer Prediction: Purdue 75, …

Read Full Article

Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/year

Coverage Details

Total News Sources16

Leaning Left1Leaning Right8Center2Last Updated2 months agoBias Distribution

73% Right

Bias Distribution

73% of the sources lean Right

73% Right

+3

Untracked bias

Factuality

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

Cordele Dispatch broke the news in Cordele, United States 2 months ago on Saturday, January 11, 2025.

Sources are mostly out of (0)

Similar News Topics

Similar News Topics

You have read out of your 5 free daily articles.

Join us as a member to unlock exclusive access to diverse content. Stay informed with comprehensive global news coverage all in one place. Subscribe now to compare different perspectives, identify biases, and stay ahead of algorithms