Pythagoras and the National Hockey League
Abstract
The nature of the relationship Bill James found between the win/loss percentage of a Major League Baseball team and the number of runs the team scores and allows over the course of a season is investigated for the National Hockey League (NHL). We find the optimal form of James' model for the NHL using the absolute error criterion and demonstrate that far more complex forms of James' model yield little in additional predictive power. We also provide empirical evidence that the relationship between win/loss percentage and goals scored and allowed varies relatively little across recent seasons.
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Article provided by Berkeley Electronic Press in its journal Journal of Quantitative Analysis in Sports.
Volume (Year): 5 (2009)
Issue (Month): 2 ()
Pages: 11
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Handle: RePEc:bpj:jqsprt:v:5:y:2009:i:2:n:11
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Web page: http://www.bepress.com/jqas
For corrections or technical questions regarding this item, or to correct its listing, contact: (Nickolas Zeibig-Kichas).
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Keywords: Hockey; sports; operations research; mathematical programming; optimization; Pythagorean Method; hockey;References
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