Convergence characteristics of Pythagorean winning percentage in baseball
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چکیده
منابع مشابه
A Derivation of the Pythagorean Won-loss Formula in Baseball
It has been noted that in many professional sports leagues a good predictor of a team’s end of season won-loss percentage is Bill James’ Pythagorean Formula RSobs γ RSobs +RAobs γ , where RSobs (resp. RAobs) is the observed average number of runs scored (allowed) per game and γ is a constant for the league; for baseball the best agreement is when γ is about 1.82. This formula is often used in t...
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In this paper, we will investigate the problem of obtaining confidence intervals for a baseball team’s Pythagorean expectation, i.e. their expected winning percentage and expected games won. We study this problem from two different perspectives. First, in the framework of regression models, we obtain confidence intervals for prediction, i.e. more formally, prediction intervals for a new observa...
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Fair-Weather Fans: The Correlation Between Attendance and Winning Percentage
In Rob Neyer's chapter on San Francisco in his Big Book of Baseball Lineups, he speculates that there aren't really good baseball cities, and that attendance more closely correlates with winning percentage than with any other factor. He also suggests that a statistically minded person look at this. I took the challenge and have been playing with a lot of data. This article is available at The C...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2016
ISSN: 1598-9402
DOI: 10.7465/jkdi.2016.27.6.1477