Wimbledon Re-Lived 1992: Andre from the baseline
Nobody expected Andre Agassi’s first Grand Slam title to come on grass at Wimbledon, a tournament he’d boycotted for a few years.
But Agassi always did things his own way, and when he won the tournament in 1992, he did it from the baseline, beating former champions Boris Becker and John McEnroe en route to the final, before overcoming the massive serve of Goran Ivanisevic in five sets.
Why was Agassi’s story such a big deal? What had happened in his first three Grand Slam finals for him to have developed a reputation for style over substance? And in what way was his return his biggest weapon against Ivanisevic in the final?
Larry Stefanki, who was coaching McEnroe at the time, contextualises Agassi’s feat and explains how he managed to beat so many classic grass courters. Chris Clarey of the New York Times, meanwhile, talks about what it was like to cover Agassi in the early 90s.
The Tennis Podcast is presented by Catherine Whitaker and David Law, and features Matt Roberts. It is produced weekly year-round, and daily during the Grand Slam tournaments. It is crowdfunded by listeners each December.
* TENNIS RE-LIVED *
We will be doing daily shows throughout the original Wimbledon dates, looking back on some of the tournament’s best matches and most important stories. Andre Agassi vs. Goran Ivanisevic from 1992, is available in full. Tomorrow we’re telling Jana Novtona’s Wimbledon story, starting with her heart-breaking 1993 defeat against Steffi Graf, and ending with her moment of triumph in 1998.
* NEWSLETTER *
Sign up to get our news, isolation diaries and Matt’s Stat - http://eepurl.com/gbmzRX
* EMAIL *
We hope that the podcast helps to provide some form of escape during these challenging times. If you ever feel like writing to us, our e-mail is open – info@tennispodcast.net
*REDDIT *
We have a sub-reddit page! It's a growing online community where over 925 listeners chat about the show and all things tennis. Join in - https://www.reddit.com/r/thetennispodcast/
* KICKSTARTER *
We are crowdfunded for 2020, but if you’d like to receive a reminder e-mail when we launch our next Kickstarter in December, then you can put your details here - http://eepurl.com/gwWILX
*SOCIAL MEDIA *
Instagram - https://www.instagram.com/thetennispodcast/
Twitter - www.twitter.com/tennispodcast
Hosted on Acast. See acast.com/privacy for more information.
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.