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Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network


  • Young William A

    (Ohio University)

  • Holland William S

    (Ohio University)

  • Weckman Gary R

    (Ohio University)


Election into Major League Baseball's (MLB) National Hall of Fame (HOF) often sparks debate among the fans, media, players, managers, and other members in the baseball community. Since the HOF members must be elected by a committee of baseball sportswriters and other entities, the prediction of a player's inclusion in the HOF is not trivial to model. There has been a lack of research in predicting HOF status based on a player's career statistics. Many models that were found in a literature search use linear models, which do not provide robust solutions for classification prediction in complex non-linear datasets. The multitude of possible combinations of career statistics is better suited for a non-linear model, like artificial neural networks (ANN). The objective of this research is to create an ANN model which can be used to predict HOF status for MLB players based on their career offensive and defensive statistics as well as the number of career end of the season awards. This research is limited to investigating players who are not pitchers. Another objective of this report is to give the audience of this particular journal an overview of ANNs.

Suggested Citation

  • Young William A & Holland William S & Weckman Gary R, 2008. "Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-46, October.
  • Handle: RePEc:bpj:jqsprt:v:4:y:2008:i:4:n:4

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    References listed on IDEAS

    1. Quinn Kevin G. & Bursik Paul B., 2007. "Growing and Moving the Game: Effects of MLB Expansion and Team Relocation 1950-2004," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(2), pages 1-30, April.
    2. David W. Findlay & Clifford E. Reid, 2002. "A comparison of two voting models to forecast election into The National Baseball Hall of Fame," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 99-113.
    3. Findlay, David W & Reid, Clifford E, 1997. "Voting Behavior, Discrimination and the National Baseball Hall of Fame," Economic Inquiry, Western Economic Association International, vol. 35(3), pages 562-578, July.
    4. Fry Michael J & Lundberg Andrew W & Ohlmann Jeffrey W, 2007. "A Player Selection Heuristic for a Sports League Draft," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(2), pages 1-35, April.
    5. Christopher M. Clapp & Jahn K. Hakes, 2005. "How Long a Honeymoon? The Effect of New Stadiums on Attendance in Major League Baseball," Journal of Sports Economics, , vol. 6(3), pages 237-263, August.
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    Cited by:

    1. Hamrick Jeff & Rasp John, 2011. "Using Local Correlation to Explain Success in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-29, October.
    2. Mills Brian M. & Salaga Steven, 2011. "Using Tree Ensembles to Analyze National Baseball Hall of Fame Voting Patterns: An Application to Discrimination in BBWAA Voting," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-32, October.

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