Welcome to a special Big Ten Championship episode of Big 10 Squad! Hosted by Craig Shemon from Locked On Big 10, this episode is your ultimate preview for the Big Ten Championship game. Craig and a panel of experts from Locked On podcasts break down everything you need to know about the showdown for conference supremacy, featuring top teams from across the Big Ten.🚀 In This Episode:Championship Game Breakdown: Get the lowdown on the teams vying for the Big Ten title, including the Illinois Fighting Illini, Indiana Hoosiers, Iowa Hawkeyes, Maryland Terrapins, Michigan Wolverines, Michigan State Spartans, Minnesota Golden Gophers, Nebraska Huskers, Northwestern Wildcats, Ohio State Buckeyes, Oregon Ducks, Penn State Nittany Lions, Purdue Boilermakers, Rutgers Scarlet Knights, UCLA Bruins, USC Trojans, Washington Huskies, and Wisconsin Badgers.Expert Predictions: Hear Locked On hosts share their thoughts on how the teams match up, what to expect from key players, and who has the edge in the championship battle.Playoff Implications: Discover the impact the Big Ten Championship will have on the College Football Playoff race, bowl games, and postseason opportunities for Big Ten teams.Why You Should Listen: Whether you're rooting for your favorite Big Ten team or just want to know what’s at stake, this episode delivers all the essential insights and analyses to get you ready for the biggest game of the season.🔔 Don’t forget to subscribe to Big 10 Squad for expert commentary and comprehensive coverage of Big Ten football all season long! Hit the bell icon to be notified when new episodes drop.Join the Conversation: Share your thoughts and predictions for the Big Ten Championship game in the comments below!#Big10Squad #Big10Football #BigTenChampionship #LockedOnBig10 #CollegeFootball #FootballAnalysis #CraigShemon #LockedOnPodcast #BigTenTeams #NCAA #CollegeFootballPlayoffs #FootballPredictions #BigTenTitleGame Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.