Week 5 Preview: The curious case of Stefon Diggs and an RB wasteland
It’s no surprise that the Minnesota Vikings have loved to run the ball in 2019. Like, LOVED it. Like, Adam Thielen and Stefon Diggs have been suffering because of it, and so has every fantasy gamer who drafted one (or both) of the talented Vikings wide receivers. Thielen has voiced his frustration, but, in a surprise to the entire fantasy community, it was Diggs who missed practice for a non-football reason this week.
The trade rumor mill was unleashed. Liz and Matt discuss the Diggs situation and much more on the latest fantasy football podcast (0:20).
[Play in Yahoo’s NFL $350K Baller. $10 entry fee and $35K to first place]
Diggs returned to practice on Thursday, but when asked about the trade rumors, he said, “There’s truth to all rumors.” #Spicy
Speaking of star wideouts, it seems like A.J. Green will be out longer than expected with injury. The rumors of a Green trade have surfaced as well (8:40).
More on the injury front: The Bears are set to play without the services of their starting quarterback, Mitchell Trubisky, but could Chicago actually be better without him? Liz and Matt analyze the Bears (13:00), while also discussing the impending return of young Jets tight end, Chris Herndon (19:00).
Liz and Matt are then joined by Brad Evans to talk about the running back situation as it stands in fantasy right now, including Brad’s favorite, David Montgomery, as well as the Eagles and the resurgence of one Ronald Jones II (24:00).
After discussing all that, our experts provide some tantalizing daily fantasy bargains (38:00) as well as preview a pair of sneaky-interesting Week 5 matchups in Texans/Falcons and 49ers/Browns (49:20)
Oh, and don’t forget to join the Week 5 NFL $350K Baller daily fantasy contest. Just a $10 entry fee! $35,000 to the first place winner!
Please remember to rate, review and subscribe on your podcast provider of choice and send us your questions for future episodes on Twitter @YahooFantasy.
Follow Liz @LizLoza_FF
Follow Matt @MattHarmon_BYB
Follow Brad @YahooNoise
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.