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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
    “…Through a seamless blend of theoretical frameworks and practical applications, the book illustrates how these integrated technologies can be utilized to predict, evaluate, and suggest next plays in sports. …”
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  2. 2

    Evaluating the reliability and seasonal sensitivity of a fitness-testing battery in elite youth soccer

    Asimakidis, N. D., Beato, M., Bishop, C., Turner, A. N.
    Published in International Journal of Sports Physiology and Performance (2025)
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  3. 3

    The Football Association injury and illness surveillance study: the incidence, burden, and severity of injuries in English women's domestic football—a 5-year prospective cohort stu...

    Sprouse, B., Hennis, P., Bennett, P., Kemp, S., Cowie, C., Ajayi, A., King, R., Johnson, M., Morris, J., Cooper, S., Chandran, A., Varley, I.
    Published in Scandinavian Journal of Medicine & Science in Sports (2025)
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  4. 4

    A Bayesian approach to predict performance in football: a case study

    Ribeiro, G. G., da Costa, L. C. C., Ferreira, P. H., do Nascimento, D. C.
    Published in Frontiers in Sports and Active Living (2025)
    “…Football is the most practiced sport in the world and can be said to be unpredictable, i.e., it sometimes presents surprising results, such as a weaker team overcoming a stronger one. …”
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  5. 5

    Optimizing talent development for goalkeepers: Psychological characteristics, stressors, and sustainable pathways in elite soccer

    Sabourin, C., Terrien, E., Ha, D.
    Published in Current Issues in Sport Science (2025)
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  6. 6

    Talent development in female soccer: Developmental activities of professional players in England

    Andrew, M., Ford, P. R., Alder, S. E., Champ, F. M., Brownlee, T. E., Datson, N., Causer, J.
    Published in Journal of Sports Sciences (2024)
    “…Findings provide an illustration of the talent pathways of professional female soccer players in England and may inform future talent development systems. …”
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  7. 7

    Performance analysis in Chinese female club soccer based on offensive and defensive technical-tactical indicators

    Xing, Y., Erdmann, W., Chamera, T.
    Published in Polish Journal of Sport and Tourism (2024)
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  8. 8

    Useful kicking foot behaviour of soccer instep kicking to launch the ball in various dircetions

    Koichiro, I., Hiroyuki, N.
    Published in ISBS Proceedings Archive: Vol. 42: Iss. 1 (2024)
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  9. 9

    Who are the best passing players in professional soccer? A machine learning approach for classifying passes with different levels of difficulty and discriminating the best passing...

    Merlin, M., Pinto, A., Moura, F. A., da Silva Torres, R., Cunha, S. A.
    Published in PLOS ONE (2024)
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  10. 10

    Tracking data

    Baca, A.
    Published in Sports technology. Fields of application, sports equipment and materials for sport (2024)
    “…This chapter describes ways of obtaining position data and illustrates their importance in the analysis of team sports. …”
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  11. 11

    Analysing team formations in football with the static qualitative trajectory calculus

    Beernaerts, J., Baets, B., Lenoir, M., Mey, K., Weghe, N.
    Published in Proceedings of the 6th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS (2018)
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  12. 12

    Impossible is nothing even in times of COVID-19. Effective strategy lessons from the Real Madrid F.C.

    Baena, V.
    Published in Soccer & Society (2024)
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  13. 13

    Determining the playing 11 based on opposition squad: An IPL illustration

    Gokul, G., Sundararaman, M.
    Published in Journal of Sports Analytics (2023)
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  14. 14

    `Football as opportunity!` the potential of inter- and transdisciplinary research to explore and transform gender inequalities: a special focus on qualitative linguistic discourse...

    Graf, E.-M., Fleischhacker, M.
    Published in Soccer & Society (2023)
    “…First findings from the related, (purely) linguistic research project More than a Game will be utilized to further illustrate this point.…”
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  15. 15

    A paradox of tournament seeding

    Csató, L.
    Published in International Journal of Sports Science & Coaching (2023)
    “…We analyse a mathematical model of seeding for sports contests with round-robin qualifying tournaments. …”
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  16. 16

    Quality measurement methods for video assisting refereeing systems

    Brunnström, K., Djupsjöbacka, A., Ozolins, O., Billingham, J., Wistel, K., Evans, N.
    Published in Sports Engineering (2023)
    “…The developed measurement methods are general and can be applied to other broadcast and video systems as well as to other sports. …”
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  17. 17

    Highlighting shooting opportunities in football

    Loutfi, I., Gómez-Jordana, L. I., Ric, A., Milho, J., Passos, P.
    Published in Sensors (2023)
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  18. 18

    Change of direction frequency off the ball: new perspectives in elite youth soccer

    Morgan, O. J., Drust, B., Ade, J. D., Robinson, M. A.
    Published in Science and Medicine in Football (2022)
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  19. 19

    An exploration of elite Japanese female footballers` acute cultural transition experiences in Europe

    Hirose, K., Meijen, C.
    Published in Science and Medicine in Football (2022)
    “…Practical implications include insights for sport professionals on how cultural change can affect transnational athletes` sporting and non-sporting lives and influence their mental health.…”
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  20. 20

    Predicting player transfers in the small world of football

    Kovacs, R., Toka, L.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (2022)
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