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  1. 1

    The performance optimization model of adjusting technical and tactical decisions with ideal usages for elite female table tennis players

    Chu, X., Yu, W., Xie, X., Wu, Y., Zhang, H.
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  2. 2

    The optimal ready position in tennis

    Mokhtar, A.
    Published in Coaching and Sport Science Review (2025)
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  3. 3

    Quantifying the technical-tactical diversity of elite tennis players during match-play

    Zhao, Z., Cui, Y., Gómez, M.-Á., Zong, S., Qi, B.
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  4. 4

    Construction and application of the technical and tactical efficiency evaluation model for table tennis matches based on grey correlation

    Yin, H., Zhou, Y., Chen, X., Zhou, L.
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  5. 5

    Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling

    Tajik, R., Dhahbi, W., Fadaei, H., Mimar, R.
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  6. 6

    Modeling of wheelchair movement trajectory error and analysis of self-correcting control mechanism in disabled table tennis

    Feng, Q., Li, J., Su, Z.
    Published in PLOS ONE (2025)
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  7. 7

    TemPose: A new skeleton-based transformer model designed for fine-grained motion recognition in badminton

    Ibh, M., Grasshof, S., Witzner, D., Madeleine, P.
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  8. 8

    The mental game of tennis: A scoping review and the introduction of the resilience racket model

    Konstantinou, G. N., Kloiber, S., Blumberger, D. M.
    Published in Sports (2025)
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  9. 9

    Development of sequential winning-percentage prediction model for badminton competitions: applying the expert system sequential probability ratio test

    Jo, E.
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  10. 10

    Estimating the relevance of first offensive shot tactics in table tennis via simulation based on a finite markov chain model

    Rothe, F., Liu, R., Lames, M.
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  11. 11

    A multidimensional momentum chain model for tennis matches based on difference equations

    Wang, J., Guo, S., Zhou, Y.
    Published in PLOS ONE (2024)
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  12. 12

    Within-match performance fluctuations: Assessment and observed vs. expected extent in table tennis

    Liu, R., Lames, M.
    Published in Journal of Human Kinetics (2024)
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  13. 13

    Prediction model and technical and tactical decision analysis of women`s badminton singles based on machine learning

    Yuan, H., Wang, Y., Yang, K., Bin, Y.
    Published in PLOS ONE (2024)
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  14. 14

    Analyzing and predicting the career trajectory of male elite junior tennis players: A machine learning approach

    Bozdech, M., Zhánel, J.
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  15. 15

    A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach

    Bozdech, M., Puda, D., Grasgruber, P.
    Published in PLOS ONE (2024)
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  16. 16

    Modeling the badminton stroke pattern through the sequential pattern discovery using equivalent classes (SPADE) algorithm

    Sari, J. R., Ahdika, A.
    Published in MENDEL Soft Computing Journal (2023)
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  17. 17

    Optimizing young tennis players` development: Exploring the impact of emerging technologies on training effectiveness and technical skills acquisition

    Liu, S., Wu, C., Xiao, S., Liu, Y., Song, Y.
    Published in PLOS ONE (2024)
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  18. 18

    Determining the tactical and technical level of competitive tennis players using a competency model: a systematic review

    Crespo, M., Martínez-Gallego, R., Filipcic, A.
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  19. 19

    Markov-chain modelling and simulative assessment of the impact of selected tactical behaviours in modern tennis

    Rothe, F., Lames, M.
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  20. 20

    A novel comparative study of NNAR approach with linear stochastic time series models in predicting tennis player's performance

    Almarashi, A. M., Daniyal, M., Jamal, F.
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