About this episode
The College Basketball Experience (@TCEonSGPN) of the Sports Gambling Podcast Network give out their College Basketball Picks for Thursday, January 31st. On the show Colby Dant (@TheColbyD), Ryan McIntyre (@Moneyline_Mac) and Noah Bieniek (@NoahB77_) give out their College Basketball best bets and break down every game on the slate. Does Indiana have any chance to hang around at Mackey against a wild Purdue crowd? Does Kent State hand Akron their 1st MAC loss? Can Dayton get a split on the road trip when they head to play a red hot St Louis team? Will the young Georgetown team bounce back against Butler? Can Princeton hand Yale their 1st loss in the Ivy League? Does Siena hang around on national TV at 1st place Marist? Can Iona remain hot and win their 4th straight win against Manhattan? Could Fairfield be a live dog against Quinnipiac? Who wins the battle in upstate New York between Canisius and Niagara? Can Penn remain hot in the Ivy League against Brown? 0:00 Welcome to the Experience 5:20 NCAA Basketball Gambling Investigation 16:52 Thursday Recap 1:24:25 Thursday Game Balls 1:26:58 Friday Preview & Picks Exclusive SGPN Bonuses And Links http://linktr.ee/sportsgamblingpodcast Seat Geek - https://seatgeek.onelink.me/RrnK/SGPN10 WATCH The College Experience YouTube - https://www.youtube.com/@TheCollegeExperience FOLLOW The College Experience On Social Media Twitter - tceonsgpn Instagram - tceonsgpn TikTok - tceonsgpn Follow The Hosts On Social Media Noah Bieniek - noahb77_ Colby Dant - thecolbyd Ryan McIntyre - moneyline_mac NC Nick - nc__nick Patty C - pattyc831 Gambling problem? Call 1-800-GAMBLER CO, DC, IL, IN, LA, MD, MS, NJ, OH, PA, TN, VA, WV, WY Call 877-8-HOPENY or text HOPENY (467369) (NY) Call 1-800-327-5050 (MA) 21+ to wager. Please Gamble Responsibly. Call 1-800-NEXT-STEP (AZ), 1-800-522-4700 (KS, NV), 1-800 BETS-OFF (IA), 1-800-270-7117 for confidential help (MI) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.