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ISOM Grad and URSP Recipient Takes on MLB Wages Tuesday, January 17,2017

ISOM Grad and URSP Recipient Takes on MLB Wages

In an article by Jennifer Anzaldi, Wheeler discusses how he uses performance data and other factors such as age, team, and year to produce a salary recommendation. He is quoted in the article as saying that in regards to a real-world application, this type of projection based on data can benefit the team and the players both:

“Teams can see players who are over-performing for their salary and poach them. They can look to see which players are likely to be traded. A player may be underperforming for his salary but on a new team, based on certain conditions, he can perform better and the new team can grab him for an appropriate price."

Wheeler is currently a grad student in Data Analytics Engineering.

You can read Anzaldi's article in its entirety here.


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ISOM Grad and URSP Recipient Takes on MLB Wages

ISOM Grad and URSP Recipient Takes on MLB Wages

Tuesday, January 17, 2017

Last spring, Jamie Wheeler undertook data analysis of Major League Baseball players and their wages with a "Moneyball" approach. His project "Statistic Tendencies of Player Trade in Baseball" approached the contentious practice that is salary negotiations. 


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