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Streaky Hitting in Baseball

Author

Listed:
  • Albert Jim

    (Bowling Green State University)

Abstract

The streaky hitting patterns of all regular baseball players during the 2005 season are explored. Patterns of hits/outs, home runs and strikeouts are considered using different measures of streakiness. An adjustment method is proposed that helps in understanding the size of a streakiness measure given the player's ability and number of hitting opportunities. An exchangeable model is used to estimate the hitting abilities of all players and this model is used to understand the pattern of streakiness of all players in the 2005 season. This exchangeable model that assumes that all players are consistent with constant probabilities of success appears to explain much of the observed streaky behavior. But there are some players that appear to exhibit more streakiness than one would predict from the model.

Suggested Citation

  • Albert Jim, 2008. "Streaky Hitting in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(1), pages 1-34, January.
    • Handle: RePEc:bpj:jqsprt:v:4:y:2008:i:1:n:3
    DOI: 10.2202/1559-0410.1085
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    Citations

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    Cited by:

    1. Joel R Bock & Akhilesh Maewal & David A Gough, 2012. "Hitting Is Contagious in Baseball: Evidence from Long Hitting Streaks," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-9, December.
    2. Chia-Hao Chang, 2021. "Construction of a Predictive Model for MLB Matches," Forecasting, MDPI, vol. 3(1), pages 1-11, February.
    3. Seong W. Kim & Sabina Shahin & Hon Keung Tony Ng & Jinheum Kim, 2021. "Binary segmentation procedures using the bivariate binomial distribution for detecting streakiness in sports data," Computational Statistics, Springer, vol. 36(3), pages 1821-1843, September.
    4. Santos-Fernandez Edgar & Wu Paul & Mengersen Kerrie L., 2019. "Bayesian statistics meets sports: a comprehensive review," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(4), pages 289-312, December.
    5. Gerber Eric A. E. & Craig Bruce A., 2021. "A mixed effects multinomial logistic-normal model for forecasting baseball performance," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(3), pages 221-239, September.
    6. Albert Jim, 2013. "Looking at spacings to assess streakiness," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(2), pages 151-163, June.

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