Applications of statistical methods to American football |
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Authors: | Raymond T. Stefani |
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Affiliation: | Professor of Electrical Engineering , California State University , Long Beach , California |
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Abstract: | ![]() The rules of American football favor the strategic placement of the 11 players per team making the identification of statistical tendencies a particularly useful capability. Gambling on American football games is explained. Several automated prediction techniques are discussed and compared, including least squares, weighted least squares, James-Stein, and Harville. A more data-intensive approach is discussed. That approach has coaching implications as well as predictive ability. |
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