Roland Garros Re-Lived 1999: Agassi At Last
Not many people expected Andre Agassi to win the French Open, especially not in 1999, and certainly not when he fell two sets down in the final against Andrei Medvedev.
But then he produced one of the greatest comebacks of all time, recovering to beat Medvedev and complete the coveted career Grand Slam.
In this episode we talk through the events which led Agassi to that point. What had happened in his previous two French Open finals? Why did he used to skip Wimbledon and the Australian Open? And how did he get his career back on track after dropping to No.141 in the world?
We hear from Brad Gilbert, Agassi’s coach at Roland Garros in 1999, who explains why Agassi’s participation at that year’s French Open was in doubt, how he came through a tough draw, and what he said to him during the rain delay.
Andrei Medvedev, meanwhile, gives his version of events, and Chris Clarey of the New York Times tells us how Agassi’s Roland Garros title set in motion the most dominant spell of his career.
The Tennis Podcast is presented by Catherine Whitaker and David Law, featuring Matt Roberts. It is produced weekly year-round, and daily during the Grand Slam tournaments. It is crowdfunded by listeners each December.
* NEWSLETTER *
Sign up to get our news, isolation diaries and Matt’s Stat - http://eepurl.com/gbmzRX
* ROLAND GARROS RE-LIVED *
We are producing daily shows throughout the original Roland Garros dates, looking back on 15 classic matches and stories from the tournament’s history. Tomorrow’s focus will be Jennifer Capriati against Kim Clijsters in the 2001 final, which is available to watch in full on YouTube. We will also be doing editions for Wimbledon.
* 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 more than 875 listeners chat about the show and all things tennis. Join in - https://www.reddit.com/r/thetennispodcast/
*SOCIAL MEDIA *
Instagram - https://www.instagram.com/thetennispodcast/
Twitter - https://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.