No preseason, the Rams' RBBC and farewell, Antonio Brown?
Welcome to the Yahoo Sports Fantasy Football Podcast! Matt Harmon is joined by Yahoo Fantasy’s very own Scott Pianowski to talk all things football and fantasy on this latest episode.
[Create or join a 2020 Yahoo Fantasy Football League for free today]
After a lot of uneasy inactivities, the NFL and NFLPA have both agreed to no preseason games in 2020. In years past, the preseason was a great time for the fantasy community to ... OVERREACT. So now, what will we overreact to by the time Week 1 comes around? (2:30)
Training camp has also been a big topic of discussion, and it’s already looking like it will be very different from seasons past.
Elsewhere in the NFL, Sean McVay has stated that he envisions the Rams backfield to look a lot like the 49er one ... which is probably not great news for fantasy managers, especially when you consider that the Rams don’t have the system nor the offensive line in place that San Francisco does. (29:07) Matt and Scott discuss the repercussions of an RBBC in LA, and much more (including Antonio Brown’s apparent retirement — good news for Seahawks receivers?) (38:16)
Please remember to rate, review, and subscribe on your podcast provider of choice and send us your questions for future episodes on Twitter @YahooFantasy. Or at the very least, please stop drafting Terry McLaurin in your mock drafts. Come on people!
Follow Matt: @MattHarmon_BYB
Follow Scott: @scott_pianowski
Check out the rest of the Yahoo Sports Podcast family at https://apple.co/2Abi8jk or at yahoosports.com/podcasts
See acast.com/privacy for privacy and opt-out information.
Subscribe to the Yahoo Fantasy Forecast on your favorite podcast app:
📢 Check out the Yahoo Sports podcast network or yahoosports.tv
And check out Matt Harmon and Yahoo Fantasy on our socials:
📷 @YahooFantasy: https://www.instagram.com/YahooFantasy
⌚ @YahooFantasy: https://www.tiktok.com/@yahoofantasy
🐦 @YahooFantasy: https://x.com/YahooFantasy
🟦 @YahooFantasy: https://www.facebook.com/YahooFantasy/
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.