Two pieces, one in the NYT Magazine in their annual sports issue, and one in the “First Person” Column in the today’s LA Times, center around two Sabermetric related items, Baseball Sims, which I wrote about in a previous post, and Retrosheet. The links are to the articles on the newspapers’ websites, but if over time the links become outdated you can read the NYT article here and the LA Times article here.

The articles present two views of Sabermetrics that are different, yet united by a common thread, that I think are relevant to my work. The NYT piece, written by well known writer, Neal Pollack, revolves around Pollack’s involvement in a Baseball Sim league. Meant to be a humorous piece, the first sentence really sets the tone.

If you think you have a dorky hobby, imagine spending several hours a week waiting for a Web site to play simulated baseball games.

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As I mentioned before, one of the great things about getting in touch with people is that many of them have alerted me to possible resources that I can use in my research. One person that I’ve been in touch with pointed me to the Simnasium website. Learning about this project, got me thinking about a lot of sociological issues, but before I discuss them, I should explain what the Simnasium is.

The Simnasium is a computer based simulation baseball game. In some respects it is similar to traditional fantasy baseball, where you form a league with other managers, draft a roster and compete against each other based on the the performance of the players. However, in addition to using sabermetrics as part of the algorithm that determines to determine the outcomes, the players that populate a manager’s team are not limited to current MLB players. Instead, managers have the opportunity to draft players from all eras. I’m not exactly sure the specifics of the player selection system, but the main attraction of something like this is that you can draft Sandy Koufax and see if he can strike out Josh Gibson (Yes, the even have Negro League players). Click here for the full set of rules which are somewhat complicated, but quite fascinating.

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Let me first say that my latest cattle call for interview subjects has been an overwhelming success, which I will write about later. One of the people who responded directed me to the Harvard Sports Analysis Collective website. Per the website:

This club is for those who are interested in sports of all types and sports analysis from a quantitative standpoint. We use mathematical and statistical models and techniques to investigate a wide variety of topics from refining and developing strategies in specific situations and predicting outcomes of games to analyzing team decisions and looking for inefficiencies in the betting market. A background in statistics and mathematics as well as a working knowledge of sports is helpful, but certainly not necessary, as we will teach all the math that is used.

This existence of this organization has many implications for my research and I thought that I’d just ruminate about them here.

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Sorry that it’s been so long. Again, this blog is supposed to keep me motivated and were it not for this, I might not have gotten back to my work for another three weeks so it’s working already! Anyways, the next few posts are going to be mostly informational posts designed to get this blog up to speed with where my research is at this very moment. I figure that the first thing I need to do is give a more thorough description of the project in terms of its subject, its genesis, and its future direction.

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