000 02321cam a2200241 i 4500
003 MIUC
005 20190924084658.0
008 190923s2013 nyua b 001 0 eng
020 _a9780231162920
040 _aDLC
_beng
_cDLC
_erda
_dDLC
_dMIUC
082 0 0 _a796.021
100 1 _aAlamar, Ben
_92196
245 1 0 _aSports analytics :
_ba guide for coaches, managers, and other decision makers /
_cBenjamin C. Alamar.
260 _aNew York :
_bColumbia University Press,
_c[2013].
264 1 _aNew York :
300 _axi, 132 p. :
_bill. b&w ;
_c22 cm
504 _aIncludes bibliographical references (pages 125-126) and index.
505 0 _aCh. 1. Introduction to sports analytics -- Ch. 2. Data and data management -- Ch. 3. Data and information -- Ch. 4. Predictive analytics and metrics -- Ch. 5. New metrics -- Ch. 6. Information systems -- Ch. 7. Analytics in the organization: Innovation and implementation -- Ch. 8. A blueprint for analytics success -- Ch. 9. Building and managing and analytic team.
520 _aBenjamin 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.
650 0 _aSports
_xStatistical methods
_9599
650 0 _aSports
_xStatistics
_9599
942 _2ddc
_cBK