Wharton Moneyball24 Juli 2019

Wharton Moneyball: Changes to the Atlantic League & Predictive Analytics

Show from 7/24/19

In this episode of Wharton Moneyball, as the Major League Baseball Trade Deadline approaches teams will begin to become buyers or sellers. Tune in to hear what the data says about the worth of a few months of a rental player vs a handful of lesser known prospects. Then Hosts Cade Massey, Eric Bradlow, Adi Wyner and Shane Jensen dive into this weekend’s British Open and discuss what you should be watching as NFL training camps open. Plus find out what rule changes the Atlantic League is undergoing and hear about the tech they're using including robot umpires!

Guests:

Ron Yurko - PhD student in the Department of Statistics & Data Science at Carnegie Mellon University. His research there mainly focuses on developing statistical methodology oriented towards applications in genetics and genomics. He also publishes research on statistics in sports, and has developed multiple R packages to enable easy access of publicly available data.

Follow him on Twitter: @Stat_Ron

Check out his research here: http://www.stat.cmu.edu/~ryurko/

Rick White - President of the Atlantic League, which this year is undergoing some massive rule changes and really altering the way the game is played. Prior to his time as President, Rick worked as an executive for MLB as well as with companies including Nike. The league started 1998 and prides itself on being the most innovative league in professional baseball, offering the highest level of minor league baseball playing skills, and being a player gateway to Major League Baseball.

More information on their website: http://www.atlanticleague.com/

Hosted on Acast. See acast.com/privacy for more information.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(631)

College Football's New Power Structure

What happens when college football players can make more money by staying in school than by entering the NFL?Steven Godfrey, college football journalist and co-host of Yahoo's College Football Enquire...

26 Aug 1h 6min

How Data Changed MLB Pitching

Why are today's MLB pitchers harder to hit than ever?Adam Ottavino, former 15-year MLB reliever and current ESPN analyst, explains how pitch-tracking data, high-speed cameras, and personalized pitchin...

19 Aug 1h 8min

The NFL's Biggest 2026 Questions

Which NFL teams are the numbers backing before the 2026 season begins?Aaron Schatz, National NFL Analyst at ESPN and Chief Analytics Officer at FTN Fantasy, explains why the Houston Texans stand out i...

12 Aug 1h 9min

Why Pitch Counts Are Failing Baseball

What if baseball’s most trusted pitching limit is more habit than science? Travis Sawchik, baseball analytics writer and author of Big Data Baseball and The MVP Machine, breaks down why pitch counts c...

5 Aug 1h 2min

Can the Sixers’ New Superteam Work?

Can the Philadelphia 76ers turn a roster featuring LeBron James, Joel Embiid, Tyrese Maxey, Jaylen Brown, and VJ Edgecombe into a championship team?Basketball analytics pioneer and ESPN data scientist...

29 Juli 1h 2min

How Constraints Shape Creativity and Athletic Development

The right limits can lead to better ideas and better performance.David Epstein, bestselling author of The Sports Gene, Range, and Inside the Box: How Constraints Make Us Better, joins Wharton Moneybal...

22 Juli 1h

Breaking Down Randomness, Win Probability, and Competitive Balance Across Sports

If the best team does not always win, how much of sports success comes down to skill, strategy, or randomness?Eric Eager, Vice President of Football Analytics for the Carolina Panthers, joins the Whar...

15 Juli 1h 1min

Rethinking How We Measure Soccer Performance

What if one of soccer’s most important analytics metrics is missing some of the most dangerous moments in a match?Recorded live with students from the Wharton Moneyball Academy, Jonathan Pipping, Ph.D...

8 Juli 57min