“Don’t under estimate yourself…some of the people I have worked with have never been interested in the realm of sports, but they are not necessarily worse off than sports fanatics… without a bias they are not blindsided by their own intuition…furthermore if you have a dream learn to be good at your craft, read all about it, network with people…given the opportunity if you prepared to impress some people in the field..word spreads quickly and you will move up quickly..”

Dr. Bobby Vasari, was in his last year as a PhD Candidate when he agreed to meet with me last year. He was the IE 330 professor/lecturer for some of my friends at Purdue. Bobby was a very open person, he fielded all my questions with not even the slightest hint of a condescending tone, even though I was only a second year undergrad. Bobby told me about a “sports spectrum,” basically a range of sports done in statistics, that really shaped the way I think about sports and the ability for each of them to be applied in the statistics realm.

He told me sports range from discrete to continuous. Baseball, in American sports, is the most discrete because each event happens independent of each other from every strike/ball, to each player that steps on the plate. Soccer, is probably the most continuous, because unlike baseball, the events are a sequence of events and depend on each other. According to Bobby, the discrete sports are the ones that can be explained with better ease in statistics.

As I’ve continued to do my research on sports stats I realize why baseball (Moneyball) and basketball are more frequently used than say football, hockey and soccer (in that order too).

Bobby also recommended that I read the book Mathletics and read literary reviews to better inform myself.

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In addition he recommended the following classes to me:

IE 533-Industrial Application of Statistics

IE 546-Economic Decisions in Engineering

IE 538- Stochastic Service Systems

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