BIG 10 SQUAD - Will Oregon Ducks, Dan Lanning be PERFECT in 2024 Season?

Welcome to Big 10 Squad ! In this Week Thirteen preview episode, host Craig Shemon of Locked On Big 10 is joined by experts from Locked On podcasts to break down all the key Big Ten football matchups as the season heads into its final stretch. This week is packed with critical games that could determine the fate of conference standings and bowl game hopes! 🚀 In This Episode: Game Previews : Analyze the most important Week Thirteen matchups featuring teams like 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 Insights : Get predictions and analyses from Locked On hosts, focusing on team strategies, key players, and what to expect from each matchup. Playoff Implications : Discuss how these games will affect conference rankings, the playoff picture, and bowl game possibilities. Why You Should Listen : Whether you're a Big Ten diehard or just following the action, this episode is a must-listen as we enter one of the most exciting and crucial weeks of the season. 🔔 Subscribe to Big 10 Squad for weekly previews, expert opinions, and everything you need to stay up-to-date on Big Ten football! Be sure to hit the bell icon to get notified whenever a new episode drops. Join the Discussion : We want to hear from you! Share your predictions for Week Thirteen’s matchups and your thoughts in the comments below. #Big10Squad #Big10Football #LockedOnBig10 #CollegeFootball #WeekThirteenPreview #FootballAnalysis #CraigShemon #LockedOnPodcast #BigTenTeams #NCAA #FootballPredictions #BigTenRoundtable #CollegeFootballPlayoffs Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.