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This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization¿s investment in analytics.
The most authoritative and innovative guide to professional football (previously known as "Pro Football Prospectus") is back for an all-new season with more cutting-edge statistical analysis, obsessive film study, and trademark humor. Includes comprehensive coverage of all 32 NFL teams, analysis of offseason personnel changes, over 500 KUBIAK fantasy football projections, and breakdowns of every team from the six BCS conferences plus the top independent and mid-major college football teams. New research topics include the development of college quarterbacks, running back consistency at the goal line, and a projection system for which college sack artists will be NFL stars or busts.
Benjamin C. Alamar founded the first journal dedicated to sports statistics, the Journal of Quantitative Analysis in Sports. He developed and teaches a class on sports analytics for managers at the University of San Francisco and has published numerous cutting-edge studies on strategy and player evaluation. Today, he cochairs the sports statistics section of the International Statistics Institute and consults with several professional teams and businesses in sports analytics. There isn't a better representative of this emerging field to show diverse organizations how to implement analytics into their decision-making strategies, especially as analytic tools grow increasingly complex. Alamar provides a clear, easily digestible survey of the practice and a detailed understanding of analytics' vast possibilities. He explains how to evaluate different programs and put them to use. Using concrete examples from professional sports teams and case studies demonstrating the use and value of analytics in the field, Alamar designs a roadmap for managers, general managers, and other professionals as they build their own programs and teach their approach to others.
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