Stat trends we love and hate to see: Kamara's shot at RB1, top 5 worst defenses & more
Matt Harmon and Dalton Del Don are here to talk about all the major fantasy trends heading into Week 4 on the latest episode of the Yahoo Fantasy Football Forecast!
First and foremost, Matt & Dalton discuss Tuesday’s breaking news that eight members of the Tennessee Titans organization have tested positive for COVID-10 and that both the Titans and Vikings (their Week 3 opponent) would be barred from in-person team activities for the time being. As that story develops, keep it tuned to the podcast as well as @YahooFantasy on Twitter.
Next, Matt and Dalton dive into the stats they love with the top-five running backs with the highest percentage of their team’s yards from scrimmage, including Alvin Kamara, James Robinson, Dalvin Cook, Austin Ekeler, and Derrick Henry (4:10).
There’s also some hype surrounding Darrell Henderson Jr. and Nick Foles, who’ve seen their roles changed, so Matt and Dalton discuss their outlooks. (13:00)
Unfortunately, there are some trends they don’t like too, like the Saints defense sucking and Drew Brees looking washed, cooked & all-around finished. (22:35)
They also discuss some buy-low wideouts you might want to make a trade for in your league (27:00), if Calvin Ridley has overtaken Julio Jones as Atlanta’s WR1 (33:35) and some bottom five defenses in passing and rushing success (35:20).
Finally, Matt and Dalton engage in their new segment titled “Who Got Shelled,” where they discuss a defense that got absolutely bombarded the prior week. While they lament the Baltimore defense getting flattened by Patrick Mahomes and the Kansas City Chiefs, they also point out two defense they’d expect to get shelled in Week 4. (41:00)
Remember to stay tuned to the Yahoo Fantasy Football Forecast, which will now have FIVE new episodes per week!
Follow Dalton: @daltondeldon
Follow Matt: @MattHarmon_BYB
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.