Search Results - Journal of Sports Analytics

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  1. 1

    On the evolution of the accuracy, within-game consistency, and geometry of the called strike zone in Major League Baseball from 2008-2023

    Post, R., Tang, J., Zimmerman, D. L.
    Published in Journal of Sports Analytics (2025)
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  2. 2

    Fielding before and after baseball's great transformation

    Kahan, D. M.
    Published in Journal of Sports Analytics (2025)
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  3. 3

    Weighted dyadicity for major league baseball player transaction networks

    Bushek, N., Erickson, S.
    Published in Journal of Sports Analytics (2025)
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  4. 4

    When should a runner on third base advance? Analyzing factors that influence the success of sacrifice flies in US Major League Baseball games

    Kato, M., Yanai, T.
    Published in Journal of Sports Analytics (2025)
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  5. 5

    Predicting handball matches with machine learning and statistically estimated team strengths

    Felice, F., Ley, C.
    Published in Journal of Sports Analytics (2025)
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  6. 6

    Performance analysis in top handball matches in the seasons before, during, and after the COVID-19 pandemic

    Krawczyk, P., Szczerba, M., Labinski, J., Smolinski, M.
    Published in Journal of Sports Analytics (2024)
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  7. 7

    A multi-criteria approach for evaluating major league baseball batting performance

    Wulff, S. S., De Silva, W. P.
    Published in Journal of Sports Analytics (2022)
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  8. 8

    Prediction of pitch type and location in baseball using ensemble model of deep neural networks

    Lee, J. S.
    Published in Journal of Sports Analytics (2022)
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  9. 9

    Major League Draft WARs: An analysis of Wins Above Replacement in player selection

    Conforti, C. M., Crotin, R. L., Oseguera, J.
    Published in Journal of Sports Analytics (2022)
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  10. 10

    Conditional probability and the length of a championship series in baseball, basketball, and hockey

    Chance, D.
    Published in Journal of Sports Analytics (2020)
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  11. 11

    Prediction of the 2019 IHF World Men`s Handball Championship - A sparse Gaussian approximation model

    Groll, A., Heiner, J., Schauberger, G., Uhrmeister, J.
    Published in Journal of Sports Analytics (2020)
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  12. 12

    Empirical study on relationship between sports analytics and success in regular season and postseason in Major League Baseball

    Chu, D. P., Wang, C. W.
    Published in Journal of Sports Analytics (2019)
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  13. 13

    Uncovering the sources of team synergy: Player complementarities in the production of wins

    Brave, S. A., Butters, R. A., Roberts, K. A.
    Published in Journal of Sports Analytics (2019)
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  14. 14

    Who`s good this year? Comparing the information content of games in the four major US sports

    Wolfson, J., Koopmeiners, J. S., DiLernia, A.
    Published in Journal of Sports Analytics (2018)
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  15. 15

    Using multi-class classification methods to predict baseball pitch types

    Sidle, G., Tran, H.
    Published in Journal of Sports Analytics (2018)
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  16. 16

    Matchup models for the probability of a ground ball and a ground ball hit

    Healey, G.
    Published in Journal of Sports Analytics (2017)
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  17. 17

    Using PITCHf/x to model the dependence of strikeout rate on the predictability of pitch sequences

    Healey, G., Zhao, S.
    Published in Journal of Sports Analytics (2017)
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  18. 18

    Revisiting the ranking of outstanding professional sports records

    Liberatore, M. J., Myers, B. R., Nydick, R. L., Weiss, H. J.
    Published in Journal of Sports Analytics (2016)
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