John Deere Classic 2025 Picks & Bets, One & Done | Rocket Classic Recap | Steelers/Dolphins Trade
Pat Mayo and Geoff Fienberg preview the course and run through the odds while making their John Deere Classic 2025 Picks, Bets, One and Done selections. Plus, a recap of the Rocket Classic and Updated Ryder Cup Standings
Use code “MAYO” at underdog for a deposit match up to $1000:
Get 20% off https://www.fantasynational.com/mayo with code “MAYO”
Win a golf trip to Cabot Links at Coolbet: https://shorturl.at/4Ckgd “SPORTS200” to get a bonus $200 too.
OMAHA STEAKS — Go tohttps://www.OmahaSteaks.comto get 50% off sitewide during their Fourth of July Sale. And use Promo Code MAYOat checkout for an extra $45 off. Minimum purchase may apply. See site for details. A big thanks to our advertiser, Omaha Steaks!
Subscribe, Rate and Review
Apple: http://bit.ly/PMEiTunes
Spotify: https://goo.gl/VboemH
FOLLOW MAYO MEDIA NETWORK
Newsletter: https://mayomedia.substack.com/
Instagram: https://www.instagram.com/mayomedianetwork/
TIK TOK: https://www.tiktok.com/discover/mayo-media-network
YOUTUBE: https://bit.ly/YTMMN
SHOW INDEX
00:00 Intro
1:14 Rocket Classic
15:47 Reed/LIV/Ryder Cup
29:35 Potgieter
35:24 Morikawa
41:20 Michael Kim
55:31 John Deere Classic
1:10:50 JDC Bets
1:26:02 Quick Picks/OAD
1:39:06 Dolphins/Steelers Trade
3-MAN One and Done
Mayo: Hodges
Geoff: Davis Thompson
Cust: Clanton
Message and data rates apply. Must be 18+ (21+MA & AZ, 19+ AL, NE) and present in a state where Underdog Fantasy operates. Terms apply. Concerned with your play? Call 1-800-GAMBLER or visit www.ncpgambling.org; AZ: 1-800-NEXT-STEP (1-800-639-8783) or text NEXT-STEP to 53342; NY: Call the 24/7 HOPEline at 1-877-8-HOPENY or Text HOPENY (467369)
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.