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Deep Pucking Value

Deep Pucking Value

De : deeppuckingvalue
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Two dumb guys (one is a Doctor) try to build a predictive model to Beat Josh in their Fantasy Hockey league. Along the way, they interview experts, talk trash, and learn a thing or two!

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    Épisodes
    • Episode 9: Trading Thoughts
      Dec 22 2025

      Dr. Dan & Jesse are back to chat about the biggest trade this season: Sam Bennett for a 2nd and a 4th! Plus, more trade action from their league and of course a breakdown of the Quinn Hughes deal where the guys reveal their (unfortunate) Canucks fandom. The trade serves as a jumping-off point to talk about how analytics might evaluate competitive cycles and other fantasy hockey moves, and other topics we hope to cover in future episodes. We also review hard-launching the podcast onto Reddit, review some comments, feedback, and topic suggestions from Redditors (including a quick overview of the Zero-G strategy), and reveal the existence of the DeepPuckingValue subreddit (https://www.reddit.com/r/DeepPuckingValue) Plus, Jesse reveals his Machiavellian trade process, and Marine Biology Corner returns for a Not-Safe-For-Work edition about ... Sea Snail Orgies??? Follow along at https://www.instagram.com/deep.pucking.value/ and https://www.reddit.com/r/DeepPuckingValue!

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      1 h et 18 min
    • Episode 8: Building Models
      Dec 8 2025

      Dr. Dan and Jesse finally start work on building their predictive fantasy hockey model with a high-level brainstorm about what their model will do, what data it will consider, and whether phrenology will make an appearance (probably not!). Plus, an update on Crosby-watch, the value of AI & LLMs in constructing a fantasy hockey team, and more! Follow along on Instagram @Deep.Pucking.Value or send us an email at deep.pucking.value@gmail.com

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      1 h et 13 min
    • Episode 7: Michael Schuckers
      Nov 24 2025

      Jesse and Dr. Dan are joined by Michael Schuckers, Professor of Data Science and Sports Analytics at the University of North Carolina at Charlotte, Professor Emeritus at St. Lawrence University and co-founder of Statistical Sports Consulting for a conversation about his extensive publication history, Sham Sarron, aging curves, the need for public access to the NHL's Player Tracking Data, the Pittsburgh Penguins, and more.

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      1 h et 15 min
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