02/23: Kansas beats Baylor, becomes universal No. 1; Baylor, Gonzaga, San Diego State, Maryland all have huge streaks snapped
No. 3 Kansas will become No. 1 Kansas when the polls update Monday. Norlander, back from Waco, recaps the scene and details with Parrish the good from a huge matchup just about matching the hype. The guys have plenty to discuss after that weekend, though, so BYU, Gonzaga and Maryland (29:20) all get some run before it’s time to discuss San Diego State (44:45) having its undefeated season end … OR DID IT? There has to be some bubble talk as well, so shouts to Indiana, Providence, Memphis, Cincinnati and UCLA (57:00) for grabbing significant wins. And if you found yourself laughing during the intro — and we suspect you did — if you haven’t already, do rate and review the pod ASAP. Five stars and nice comments!
'Eye on College Basketball' is available on Apple Podcasts, Spotify, Stitcher, Castbox and wherever you listen to podcasts.
Follow our hosts on Twitter: @GaryParrishCBS, @MattNorlander
For more college basketball coverage from CBS Sports, visit https://www.cbssports.com/college-basketball/
To hear more from the CBS Sports Podcast Network, visit https://www.cbssports.com/podcasts/
To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy
Learn more about your ad choices. Visit https://podcastchoices.com/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.