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 Chapters00:00 Introduction00:52 Welcome to the Sports Gambling Podcast01:34 Guest Introduction: Colby Dant03:11 Virginia Tech Basketball Discussion10:34 Liberty Basketball and Hairline Jokes14:43 UCF vs. Texas A&M18:03 Xavier vs. Iowa20:22 Georgia Tech vs. Georgia24:43 Michigan vs. TCU25:09 Master P and New Orleans Basketball29:36 Arizona vs. UCLA33:40 Gonzaga vs Arizona State36:20 Apple Cup on the Hardwood: Washington vs. Washington State38:27 Maryland vs. Marquette: Buzz's Revenge Spot40:43 BYU vs. UCONN45:58 New Mexico vs. New Mexico State48:53 Houston vs. Auburn51:07 Underdog Fantasy Picks53:38 UNLV vs. Memphis56:34 Purdue vs. Akron58:36 Florida vs. Miami01:00:36 Locks and Dogs Check out Mars Men: https://mengotomars.com Exclusive SGPN Bonuses And Linkshttps://sg.pn/links Watch The Sports Gambling PodcastYouTube - https://www.youtube.com/sportsgamblingpodcastFollow The Sports Gambling PodcastX/Twitter - https://x.com/GamblingPodcastInstagram - https://www.instagram.com/sportsgamblingpodcastTikTok - https://www.tiktok.com/@gamblingpodcastFacebook - http://www.facebook.com/sportsgamblingpodcastFollow The Sports Gambling Podcast HostsSean Green - http://www.twitter.com/seantgreenRyan Kramer - http://www.twitter.com/kramercentricGambling 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.