About this episode
Subscribe To The College Basketball Experience at sg.pn/tcbe The College Basketball Experience (@TCEonSGPN) on the Sports Gambling Podcast break down all 31 conference previews in College Basketball. Colby Dant, (@TheColbyD) Ryan McIntyre (@Moneyline_Mac), and Noah Bienick (@NoahB77_) go team by team and predict who will finish at the top of the league. Can Takayo Siddle get Wilmington back to the big dance for a 2nd consecutive season? Is this the year Pat Skerry and Towson get over the hump in March? Will Chris Mack's team make a jump defensively in year 2? Can Speedy Claxton get Hofstra back into the top half after a down year? Will John Andrzejek make Campbell competitive in year 1? Are people sleeping on King Rice and Monmouth once again? Is this Bill Coen's best team at Northeastern in almost a decade? Can Ivan Thomas and Hampton make another step after a successful year 1? Can Brian Early keep William & Mary in the top half of the league? Can Zach Spiker overachieve at Drexel once again? What will the new look Elon team look like under Billy Taylor? Is this a bounce back season for Geno Ford at Stony Brook? 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.