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NFL Analytics I

In: Sports Analytics

Author

Listed:
  • Leonard C. MacLean
  • William T. Ziemba

Abstract

In this chapter and Chapter 10 we discuss a number of interesting ideas including some from the class notes of our Stanford colleague Tom Cover who died in 2016 at 73. Tom was a brilliant professor of statistics and electrical engineering who supervised an astounding 64 PhD dissertations. He was arguably the top information theory expert in the US. In addition, he was interested in various gambling games and sports statistics. He taught a course in Sports Statistics and interested numerous students in the topic. We had discussed doing a sport statistics book together, but now can only dedicate our book to him and record for a larger audience some of his results and add our thoughts along the way. Analytics is popular in today’s sports analysis, and Tom was ahead of his time in bringing mathematics and statistics to decision making in sports. The examples of sports analytics are taken from American baseball and football.

Suggested Citation

  • Leonard C. MacLean & William T. Ziemba, 2022. "NFL Analytics I," World Scientific Book Chapters, in: Sports Analytics, chapter 9, pages 119-128, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811250217_0009
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    More about this item

    Keywords

    Sports Analytics; Statistical Analysis of Sports Decisions; NFL Football; Thoroughbred Racing; Basketball; Baseball; Hockey; Jai Alai; Optimal Betting Strategies; Mean Reversion Risk; Arbitrage; Decision Strategies by Coaches;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • Z2 - Other Special Topics - - Sports Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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