Women's college basketball picks today: Saturday's best bets include South Carolina vs. USC play [11/15/2025]

Today’s women's college basketball picks for November 15, 2025 are here, with South Carolina vs. USC among the top plays identified by our model across Saturday’s women's basketball play.

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

List of NCAAW picks tonight [11/15, updated 8:31PM ET]

Below, you’ll find today’s best women's college basketball bets, ranked by edge for Saturday, November 15, 2025.

USC +13.5 (-110)

• Edge: 6.3%
• Probability: 58.7%
• Matchup: South Carolina vs. USC (9:00PM ET, Saturday)

Our model has identified value on USC +13.5 at -110 odds. A 58.7% probability produces an edge of 6.3%, making this the strongest play for today's women's college basketball slate.

USC ML (+650)

• Edge: 5.5%
• Probability: 18.8%
• Matchup: South Carolina vs. USC (9:00PM ET, Saturday)

USC ML carries a 5.5% edge and a probability of 18.8% at +650 odds, according to our model.

NCAAW best bets summary: Saturday, 11/15/2025

As of 8:31PM ET, here are our top women's college basketball bets by edge recommended by our model:

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

• South Florida vs. UCLA (9:00PM ET, Saturday)
• South Carolina vs. USC (9:00PM ET, Saturday)

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Conclusion

Our women's college basketball best bets are locked and loaded for November 15, 2025, featuring plays such as USC +13.5 and USC ML. 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 drawn from 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.

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