Women's college basketball picks today: Thursday's best bets include Maryland vs. USC play [1/15/2026]

Today’s women's college basketball picks for January 15, 2026 are here, with Maryland vs. USC among the top plays identified by our model across Thursday’s women's basketball slate.

Dimers’ predictive analytics engine runs 24/7, scanning the latest women's basketball odds to uncover legitimate betting edges. The result? Data-backed picks that help Dimers Pro members make smarter decisions.

List of NCAAW picks tonight [1/15, updated 8:33PM ET]

Below, you’ll find today’s best women's college basketball bets, ranked by edge for Thursday, January 15, 2026.

USC ML (+105)

• Edge: 29.1%
• Probability: 77.8%
• Matchup: Maryland vs. USC (9:00PM ET, Thursday)

Our model has identified value on USC to defeat Maryland at +105 odds. A 77.8% probability produces an edge of 29.1%, making this the strongest play for today's women's college basketball slate.

USC +1.5 (-110)

• Edge: 18.5%
• Probability: 70.8%
• Matchup: Maryland vs. USC (9:00PM ET, Thursday)

USC +1.5 carries an 18.5% edge and a probability of 70.8% at -110 odds, according to our model.

Iowa ML (-230)

• Edge: 10.5%
• Probability: 80.2%
• Matchup: Oregon vs. Iowa (9:00PM ET, Thursday)

Iowa ML at -230 odds shows a 10.5% edge, supported by a 80.2% probability in simulations.

Maryland vs. USC over 140.5 points (-110)

• Edge: 8.2%
• Probability: 60.5%
• Matchup: Maryland vs. USC (9:00PM ET, Thursday)

An 8.2% edge and 60.5% probability make Maryland vs. USC over 140.5 points at a value play in the Maryland vs. USC matchup, per our model.

Iowa -5.5 (-112)

• Edge: 7.7%
• Probability: 60.5%
• Matchup: Oregon vs. Iowa (9:00PM ET, Thursday)

Iowa -5.5 at -112 odds presents a 7.7% edge, with simulations resulting in a probability of 60.5%.

Oregon vs. Iowa under 139.5 points (-108)

• Edge: 6.4%
• Probability: 58.3%
• Matchup: Oregon vs. Iowa (9:00PM ET, Thursday)

Our model finds value on under 139.5 points in Oregon vs. Iowa at -108 odds, supported by an edge of 6.4%.

Alabama vs. Auburn over 122.5 points (-110)

• Edge: 6.2%
• Probability: 58.6%
• Matchup: Alabama vs. Auburn (9:00PM ET, Thursday)

Our model has uncovered value on Alabama vs. Auburn over 122.5 points at -110 odds. A 58.6% probability produces a 6.2% edge, making this a strong play for today's Women's College Basketball action.

NCAAW best bets summary: Thursday, 1/15/2026

As of 8:33PM ET, here are our top women's college basketball bets by edge recommended by our model:

Matchup	Bet	Odds	Edge	Probability
Maryland vs. USC	USC ML	+105 @ DraftKings	29.1%	77.8%
Maryland vs. USC	USC +1.5	-110 @ DraftKings	18.5%	70.8%
Oregon vs. Iowa	Iowa ML	-230 @ DraftKings	10.5%	80.2%
Maryland vs. USC	Over 140.5 Points	-110 @ DraftKings	8.2%	60.5%
Oregon vs. Iowa	Iowa -5.5	-112 @ DraftKings	7.7%	60.5%
Oregon vs. Iowa	Under 139.5 Points	-108 @ DraftKings	6.4%	58.3%
Alabama vs. Auburn	Over 122.5 Points	-110 @ DraftKings	6.2%	58.6%

List of upcoming women's college basketball games to bet on now

• Oregon vs. Iowa (9:00PM ET, Thursday)
• Alabama vs. Auburn (9:00PM ET, Thursday)
• Maryland vs. USC (9:00PM ET, Thursday)
• Cal Poly vs. Hawaii (12:00AM ET, Friday)

Using Dimebot for betting research

Learn how Dimebot helps you quickly access projections, trends, and explanations—without digging through multiple tools or pages.

Conclusion

Our women's college basketball best bets are locked and loaded for January 15, 2026, featuring plays such as USC ML and USC +1.5. Powered by advanced simulations, these picks are here to boost your betting game.

This article, enhanced by AI and automation, aims to deliver accurate college basketball insights quickly, with human oversight ensuring high editorial quality. Our predictions are grounded in current data to help you make informed decisions. For additional resources and advice on responsible gambling, please call 1-800-GAMBLER.

All odds and probabilities in this article are correct and accurate at the time of publication.

Note: Clicking links to our sportsbook partners may earn us a referral fee. Learn about how we review products and services.