Advanced Stats 101: What they are and what can they predict?
Dalton Del Don is joined by Ben Baldwin of The Athletic, aka the Computer Cowboy, to talk all advanced stats in fantasy and much more on the latest episode of the Yahoo Fantasy Football Forecast!
First up, some news that scared probably everyone in the fantasy community: Miles Sanders got hurt in training camp with what is being called a “lower-body injury.” He’s been labeled week-to-week with the injury, and the talented RB will reportedly be ready for Week 1. Should fantasy managers be worried about Sanders, Yahoo’s consensus RB10?
Next, Ben and Dalton get into some advanced stats, including the specific ones they look at, what those stats measure, and what they miss.what advanced stats do you look at? What do they measure? Why do they matter? What do they miss? These stats include EPA, CPOE and SOE. We promise these acronyms will make sense once you listen! (01:30)
Dalton and Ben look through the quarterback landscape in the NFL and used advanced stats to take a look at some potential regression candidates, breakouts and players that have relocated like Tom Brady, Ryan Tannehill and Cam Newton to see how their 2020 seasons could turn out.
Finally, Dalton and Ben discuss the state of the Seattle Seahawks, including their fantasy outlook, why Pete Carroll hates Russell Wilson (okay so maybe hate is too strong but just let the man throw the ball!), and the Jamal Adams trade. (40:30)
Remember to stay tuned to the Yahoo Fantasy Football Forecast, which will now have FIVE new episodes per week!
Follow Dalton: @daltondeldon
Follow Ben: @benbbaldwin
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.