College Basketball Picks: Fri, Nov 14th – Sun, Nov 16th (Ep. 2427)

Sean Green ( @SeanTGreen ) and Ryan Kramer ( @KramerCentric ) are talking college basketball predictions in this college basketball picks podcast. They’re joined by Colby Dant ( @TheColbyD ) from The College Experience to talk college basketball best bets for Friday Nov 14th – Sunday Nov 16th. Podcast Chapters 00:00 Introduction 00:52 Welcome to the Sports Gambling Podcast 01:34 Guest Introduction: Colby Dant 03:11 Virginia Tech Basketball Discussion 10:34 Liberty Basketball and Hairline Jokes 14:43 UCF vs. Texas A&M 18:03 Xavier vs. Iowa 20:22 Georgia Tech vs. Georgia 24:43 Michigan vs. TCU 25:09 Master P and New Orleans Basketball 29:36 Arizona vs. UCLA 33:40 Gonzaga vs Arizona State 36:20 Apple Cup on the Hardwood: Washington vs. Washington State 38:27 Maryland vs. Marquette: Buzz's Revenge Spot 40:43 BYU vs. UCONN 45:58 New Mexico vs. New Mexico State 48:53 Houston vs. Auburn 51:07 Underdog Fantasy Picks 53:38 UNLV vs. Memphis 56:34 Purdue vs. Akron 58:36 Florida vs. Miami 01:00:36 Locks and Dogs Exclusive SGPN Bonuses And Links http://linktr.ee/sportsgamblingpodcast Watch The Sports Gambling Podcast YouTube - https://www.youtube.com/sportsgamblingpodcast Follow The Sports Gambling Podcast X/Twitter - https://x.com/GamblingPodcast Instagram - https://www.instagram.com/sportsgamblingpodcast TikTok - https://www.tiktok.com/@gamblingpodcast Facebook - http://www.facebook.com/sportsgamblingpodcast Follow The Sports Gambling Podcast Hosts Sean Green - http://www.twitter.com/seantgreen Ryan Kramer - http://www.twitter.com/kramercentric 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.