Worst Tennis Podcast predictions ever - part 2
If you enjoyed part one of our worst ever predictions podcast, then you’re going to love part two.
Our self-imposed humiliation intensifies as we re-play a couple of clips to make Catherine cringe, go deep on David’s wildly changeable views on Nick Kyrgios, and laugh at Matt picking Victoria Kuzmova to do big things.
Plus, in a segment on our wildly inaccurate ranking projections, find out which player, who has never been ranked inside the Top 100, David thought would be Top 20 by 2020.
‘Worst of’ fortnight will continue on Monday when we rank the worst Grand Slam finals of all time.
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 every December.
* NEWSLETTER *
Sign up to get our news, isolation diaries and Matt’s Stat. Daily at the Grand Slams and weekly throughout the rest of the year - http://eepurl.com/gbmzRX
* TENNIS RE-LIVED *
Our Tennis Re-Lived series will return in May when we look back on classic finals from Madrid and Rome. We will also be doing daily editions during the original Roland Garros and Wimbledon dates.
* 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 850 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.