Episode 369: NFC Team-by-Team Draft Recap with Evan Silva and Adam Levitan
The 2022 Draft is over. Evan Silva and Adam Levitan react to each NFC team's haul.
Show Notes
In this episode, we discuss:
- Marquise Brown trade
- Giants win post-Gettleman
- Bad signs for Antonio Gibson
- Falcons rebuild
- Tons more
Links mentioned in the episode:
- 2022 Rookie Rankings - https://establishtherun.com/rookie-dynasty-rankings-2022/
- Details on the NEW Golf product - https://establishtherun.com/subscribe-golf/
- Underdog Best Ball Rankings - https://establishtherun.com/etrs-top-300-for-underdogfantasy/
Want the information you need to win at DFS Golf? We’ve got you covered with:
- Rufus Peabody’s projections
- Live Show with Adam Levitan, Peter Jennings, and a rotating group of guests including Rufus Peabody of Unabated
- Ownership projections
- Tons more
All in one place.
Check us out at https://establishtherun.com/subscribe-golf/
For more on Rufus’ betting analytics website, Unabated Sports, visit https://unabated.com/?ref=etr
Additionally, we have worked out a SPECIAL deal with BETMGM. Sign up for a new account with the link below and they will email you an $84.99 coupon to use on any ETR product. The coupon is good for one year.
SIGN-UP LINK: https://promo.co.betmgm.com/en/promo/sports/establish-the-run-nba?wm=7074948
After signing up for BetMGM, please follow these four steps:
- Deposit at least $10 (NO PROMO CODE NEEDED)
- Place your first wager (you still qualify for MGM’s promotion of a Risk-Free bet up to $1,000)
- You will receive an email from BetMGM with unique promo code within a few days of making your qualifying bet
- Head to ETR’s subscription page and use your unique code for $84.99 off any ETR subscription
- Follow ETR on Twitter - https://twitter.com/EstablishTheRun
- Follow Adam on Twitter - https://twitter.com/adamlevitan
- Follow Evan on Twitter - https://twitter.com/evansilva
Timestamps:
1:03 - AZ
3:57 - ATL
6:15 - CAR
8:42 - CHI
11:28 - DAL
13:40 - DET
17:20 - GB
19:51 - LAR
21:08 - MIN
22:45 - NO
24:53 - NYG
27:22 - PHI
31:34 - SF
33:30 - SEA
36:56 - TB
39:09 - WAS
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.