Abstract
Here's a fun project that combines baseball and math. Major League baseball is played in ballparks that have their own individual quirks when it comes to the exact layout of the field. Fenway Park in Boston has the famous "Green Monster" in left field, Yankee Stadium in the Bronx is notorious for the "short porch" down the right field line, and Coors Field in Denver is at a much higher altitude than any other ballpark. How do these differences affect batting statistics? You'll need to do a little digging to pull the numbers together, but a nice thing about this project is that the experiments are already done, and the data is out there waiting for you.Objective
The objective of this project is to determine how the dimensions of a baseball stadium affect batting statistics.
Introduction
Even in modern baseball, not all stadiums are the same size. A player who hits .300 with 30 home runs in one stadium could be a .250 hitter with 15 home runs in another park. Which parks are good hitter's parks, and which are not?
Terms, Concepts and Questions to Start Background Research
Park effects, park dimensions, Coors Field
Bibliography
ESPN offers detailed statistics for all teams in Major League Baseball and is the best place to collect the data for this project:
http://sports.espn.go.com/mlb/statistics
Experimental Procedure
Calculate the average for every team's home and road batting statistics (as well as their opponent's) over the time that they've been playing in a particular park. Since the average road park is nearly the same as the league's average park, the difference between home and road performance is the home park's effect on offense.
Variations
Credits
Gabriel Desjardins
Last edit date: 2005-09-11 14:06:22
If you like this project, you might enjoy exploring careers in Pure Mathematics.
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