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Analysis of Pitching Skills of Major League Baseball Players

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Advances in Human Factors in Sports, Injury Prevention and Outdoor Recreation (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 603))

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Abstract

This study examines the pitcher’s deciding ball after pushing a batter with two strikes of an aged pitcher group (31 to 43 year-old) and a younger pitcher group (20 to 30 year-old) by using an actual tracking data of the Major League Baseball in 2015. The regression analyses are conducted for all pitchers and for each age group on different pitch types; i.e., two-seam, cutter, splitter, forkball, straight and so on. We also analyze relationships between pitchers’ knocking out batters and their pitching characteristics measured by pitch movements by using a framework and empirical analyses. The results of the research model using Structural Equation Modeling show what makes the pitcher advantageous over the batter.

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References

  1. Kindall, J.: Sports Illustrated Baseball: Play the Winning Way. Time, Inc., Lanham, MD (1993)

    Google Scholar 

  2. Lopez, A., Kirkgard, J.: Coaching Baseball Successfully. Human Kinetics, Champaign, IL (1996)

    Google Scholar 

  3. Yeh, C.S., Lee, M.S., Zhu, F.L.: Baseball Bible. Business Weekly Publication, Inc, Taipei (2003)

    Google Scholar 

  4. Chiu, S., Hsiao, C., Wu, H.: Measuring pitchers’ performance using data envelopment analysis with advanced statistics. Contemp. Manage. Res. 11(4), 351–384 (2015). doi:10.7903/cmr.14157

    Article  Google Scholar 

  5. Shu, P.E.S.: Arsenal/zone rating: a PitchF/X based pitcher projection system. In: 2016 MIT Sloan Sports Analytics Conference Research Paper (2016)

    Google Scholar 

  6. Karakolis, T.: Measuring a Pitcher’s Ability, Performance, and Contribution, Fan Graphs Community Research. http://www.fangraphs.com/community/measuring-a-pitchers-ability-performance-and-contribution/ (2013). Accessed 16 Feb 2017

  7. Keating, P.: Better, Faster, Younger: Why Baseball’s Young Stars are Its Best in 20 years, ESPN The Magazine. http://www.espn.com/mlb/story/_/id/14946288/better-faster-younger-mlb-best-stars-20-years (2016). Accessed 17 Feb 2017

  8. Statistia: Major League Baseball Rosters by Average player age in 2016. https://www.statista.com/statistics/236223/major-league-baseball-clubs-by-average-age-of-players/ (2016). Accessed 17 Feb 2017

  9. Gibbs, B.G., Jarvis, J.A., Dufur, M.J.: The rise of the underdog? The relative age effect reversal among Canadian-born NHL hockey players: a reply to Nolan and Howell. Int. Rev. Sociol. Sport. 47(5), 644–649. (2012)

    Article  Google Scholar 

  10. Bradbury, J.: Peak athletic performance and ageing: evidence from baseball. J. Sports Sci. 27(6), 599–610 (2009)

    Article  Google Scholar 

  11. Fair, R.C.: Estimated age effects in baseball. J. Quant. Anal. Sports 4(1), 1 (2008). Article 1

    MathSciNet  Google Scholar 

  12. Sommers, P.: The changing hitting performance in major league baseball, 1966-2006. J. Sports Econ. 9(4), 435–440 (2008)

    Article  Google Scholar 

  13. Scully, G.W.: The Business of Baseball. University of Chicago Press, Chicago (1989)

    Google Scholar 

  14. Gennaro, V.: Diamond Dollars: The Economics of Winning in Baseball. Maple Street Press, Hingham, MA (2007)

    Google Scholar 

  15. Forman, S.: Player Wins Above Replacement. http://www.baseball-reference.com/blog/archives/ 6063 (2010) Accessed 19 Feb 2017

  16. Slowinski, S.: What is WAR? http://www.fangraphs.com/library/index.php/misc/war/ (2010). Accessed 17 Feb 2017

  17. Bradbury, J.: Hot Stove Economics: Understanding Baseball’s Second Season. Copernicus Books, New York (2011)

    Book  Google Scholar 

  18. Baumer, B.S., Jensen, T.: openWAR: an open source system for evaluating overall player performance in major league baseball. J. Quant. Anal. Sports 11(2), 69–84 (2015)

    Google Scholar 

  19. Furnald, N.A.: The Impact of Age on Baseball Players’ Performance, Unpublished manuscript. Colgate University (2012)

    Google Scholar 

  20. Whiteside, D., Martini, D.N., Zernicke, R.F., Goulet, G.C.: Changes in a starting pitcher’s performance characteristics. Across the duration of a major league baseball game. Int. J. Sports Physiol. Perform. 11(2), 247–254 (2016)

    Article  Google Scholar 

  21. Fast, M.: Four plus pitches. The hardball times. http://www.hardballtimes.com/main/article/four-plus-pitches/ 23 June 2010. Accessed 21 Feb 2017

  22. Kogan, D.: The anatomy of a pitch: doing Physics with PITCHf/x data. Phys. Teach. 47(7), 412–416 (2009)

    Article  Google Scholar 

  23. Byrne, B.M.: Structural Equation Modeling Using AMOS. Basic Concepts, Applications, and Programming, 2nd edn. Taylor & Francis, New York (2010)

    Google Scholar 

  24. Cudeck, R., du Toit, S., Sörbom, D. (eds.): Structural Equation Modeling: Present and Future. Scientific Software International, Chicago (1992)

    Google Scholar 

  25. Jöreskog, K.G.: New developments in LISREL—analysis of ordinal variables using polychoric correlations and weighted least squares. Qual. Quant. 24, 387–404 (1990)

    Article  Google Scholar 

  26. Mueller, R.: Structural equation modeling: back to basics. Struct. Equ. Model. 4, 353–369 (1997)

    Article  Google Scholar 

  27. Yuan, K.H., Bentler, P.M.: Mean and covariance structure analysis: theoretical and practical improvements. J. Am. Stat. Assoc. 92, 767–777 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  28. Ellis, S.: Pitching Grips- How to Grip and Throw Different Baseball Pitches. http://www.thecompletepitcher.com/pitching_grips.htm (2017). Accessed 23 Feb 2017

  29. Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics, 5th edn. Allyn and Bacon, New York (2007)

    Google Scholar 

  30. Bentler, P.M.: Comparative fit indexes in structural models. Psychol. Bull. 107, 238–246 (1990)

    Article  Google Scholar 

  31. Browne, M.W., Cudeck, R.: Alternative ways of assessing model fit. Sociol. Methods Res. 21, 230–239 (1993)

    Article  Google Scholar 

  32. Wheaton, B., Muthen, B., Alwin, D.F., Summers, G.: Assessing reliability and stability in panel models. Sociol. Methodol. 8(1), 84–136 (1977)

    Article  Google Scholar 

  33. Akaike, H.: A New Look at the Statistical Model Identification. IEEE Trans. Autom. Control 19(6), 716–723 (1974)

    Article  MathSciNet  MATH  Google Scholar 

  34. Fast, M.: What the heck is PITCHf/x. In: Distelheim, J., Jacobs, B. (eds.) The Hardball Times Baseball Annual 2010, pp. 153–158. ACTA Sports, Chicago (2009)

    Google Scholar 

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Correspondence to Michiko Miyamoto .

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Miyamoto, M., Ito, A. (2018). Analysis of Pitching Skills of Major League Baseball Players. In: Ahram, T. (eds) Advances in Human Factors in Sports, Injury Prevention and Outdoor Recreation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 603. Springer, Cham. https://doi.org/10.1007/978-3-319-60822-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-60822-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60821-1

  • Online ISBN: 978-3-319-60822-8

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