Sports Analytics, Betting, & Team Building Using Data Science

Published: Aug. 12, 2016, 7:24 a.m.

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Richard Demsyn-Jones has an extensive experience building predictive models. Currently, Richard is at Google Trust and Safety Analytics, Prior to that Richard helped Capital One with their data science opportunities as a principal data scientist. Richard has an academic background in economics.

I bumped into Richard when he was presenting on sports analytics, and despite zero interest or prior experience in watching in Hockey, I found myself deeply immersed in Richard\\u2019s presentation where he discussed data analytics around goalie quality...This goes to show Richard\\u2019s compelling storytelling abilities.

Couple of fun facts about Richard: He thinks cereal is good for any meal, also he\\u2019s from Canada, but doesn\\u2019t want you to hold that against other Canadians.

In this podcast, Richard shares his thoughts on:

  1. When it comes to betting, is natural talent more important than quantitative skills
  2. Nate Silvers story on why he left the poker world...
  3. A key area for a sports analyst to focus on (even if you are a hobbyist, you may want to follow the advice here)
  4. How can data be applied when selecting lineups
  5. Going beyond sports, how to apply data when building new teams and increase team performance\\u2026where you can play off the way different strengths interact with each other.
  6. Round of rapid fire questions on data\\u2026my favorite part.

Richard\\u2019s Blog:

https://oddacious.github.io/

Richard\\u2019s email:

fumble.to.victory [at] gmail.com


Disclaimer: Opinions expressed herein are in my own, and do not represent my employer\\u2019s viewpoints on sports analytics or other projects.

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