====PAGE-LEVEL METADATA==== University Daily Kansan Page 0860 from reel: NP 10153 (2002-08-19 to 2002-12-12) https://digital.lib.ku.edu/ku-udk/35189 Title: Mizzou QB Biggest Obstacle Summary: Article discusses Missouri quarterback Brad Smith as the biggest obstacle for Kansas in their upcoming football game, analyzing his performance statistics and Kansas' defensive strategy. Category: sports Subjects: college football; rivalry games; quarterback analysis Named Entities: Smith, Brad [quarterback]; Mangino, Mark [coach] Confidence: 0.9 Title: Sooners Not Overlooked Summary: Kansas volleyball team prepares to face Oklahoma Sooners, looking to avenge last year's loss and end a three-match losing streak, with analysis of team strengths and player injuries. Category: sports Subjects: college volleyball; Big 12 Conference; team strategy Named Entities: Bechard, Ray [coach]; Lima, Josiane [player] Confidence: 0.85 Title: Soccer Heads to Texas for Crucial Games Summary: Kansas women's soccer team travels to Texas for important matches against Longhorns and Aggies, with analysis of team standings and player performances. Category: sports Subjects: college soccer; Big 12 Tournament; team performance Named Entities: Francis, Mark [coach]; McDonald, Kelly [player]; McBain, Kati [player] Confidence: 0.85 Title: Missouri Superior All Over Summary: Columnist Ian Rennie compares Missouri and Kansas athletic programs across various sports, analyzing historical rivalries and current team strengths. Category: sports Subjects: college sports; rivalry analysis; team comparison Named Entities: Rennie, Ian [columnist] Confidence: 0.8 Title: A Look Inside the Mind of a Tiger Fan Summary: Sports commentary piece by Ryan Wood exploring the mindset and perspectives of Missouri fans regarding their rivalry with Kansas and other sports teams. Category: sports Subjects: sports fandom; rivalry psychology; college sports culture Named Entities: Wood, Ryan [columnist] Confidence: 0.8 Note: Descriptive metadata for this item has been generated in part using AI (artificial intelligence) technologies and may be incomplete, misleading, or inaccurate. Please contact the Kenneth Spencer Research Library with specific questions or concerns.