About this episode
The College Basketball Experience (@TCEonSGPN) of the Sports Gambling Podcast Network give out their College Basketball Picks for Thursday, February 6th. 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 Ohio St get revenge on Maryland from the beatdown earlier in the year? Is San Fran catching Saint Mary's in the perfect letdown spot off of the Zags win? Will South Dakota St make a statement against the Tommies coming off of their national TV Sunday win? Who wins the Pac-2 game out in Corvallis between Oregon St and Washington St? Does Jax State remain in 1st place in CUSA with Middle TN coming to town? Can Western Kentucky keep pace with a win at Kennesaw? How will Liberty bounce back with a talented LA Tech team coming to Lynchburg? Can UC Riverside sweep UC San Diego out in the Big West? How will Montana matchup with Northern Colorado in a Big Sky showdown? 00:00 Welcome to the Experience! 5:30 Wednesday Games Recap 1:41:00 Wednesday Game Balls 1:43:30 Thursday 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.