Applications of statistical methods to American football

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.