Thirst-trappers, NFL villains, and player props
Let’s face it: Every single fantasy football draft season, we as fantasy gamers all fall in love with that one specific player that we become convinced is gonna go off. Whether it’s the hype or the analysis or the predictions, we’re certain that this player will take us to the fantasy promised land.
And then it all goes to crap, and the player either does nothing or fails to meet any and all expectations. We get thirst-trapped.
[Join or create a 2019 Yahoo Fantasy Football league for free today]
For many, the 2018 version of that thirst-trapper was Royce Freeman (sorry Brad). But hey, it happens to us all. People got thirsty for Freeman. So, who are people getting thirsty for this season?
In this episode of the Yahoo Fantasy Football Podcast, Liz Loza and Matt Harmon identify the players who fantasy gamers are set to be thirst-trapped by (4:30). They include Geronimo Allison, Darrell Henderson, Austin Ekeler, Derrius Guice, and Kenny Golladay, to name a few.
Next, our experts talk about the experience of being at Comic-Con last week, where Marvel revealed a plethora of movies for Phase 4 of the Marvel Cinematic Universe. With Thanos out of the picture, the MCU has a hole where villains should be, but the NFL and fantasy sure don’t.
Yet, where there are villains, there’s the chance for redemption. So, Liz and Matt choose who the football villains of 2019 are and whether they deserve another shot (22:30). Are we to forgive the likes of Corey Davis, Leonard Fournette, Marquise Goodwin, Devin Funchess, and Trey Burton?
Finally, Liz and Matt talk through some player props for the 2019 season (42:00).
Remember to leave your voicemail for a future episode at 888-85-YAHOO (that's 888-859-2466).
And 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
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.