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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
    “…By leveraging the power of machine learning, the book presents cutting-edge approaches to sports analytics, where data from actual games is enhanced with predictive simulations for strategic planning and decision-making. …”
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  2. 2

    A cross-sectional assessment of nutritional knowledge gaps and feasibility of digital intervention among adolescents soccer players in Tunisian elite club

    Layouni, S., Ksibi, S., Ach, T., Elmtaoua, S., Ceylan, H. I., Ghali, H., Tiss, B., Ajili, M. A., Jemni, S., Muntean, R. I., Dergaa, I.
    Published in Nutrients (2025)
    “…Conclusions: This study reveals critical gaps in both general and sports-specific nutritional knowledge among adolescent soccer players in Tunisia, providing important descriptive information about knowledge distribution in this population. …”
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  3. 3

    How reliable are the tactical measures obtained in soccer small-sided games? A test-retest analysis of observational instruments and GPS-based variables

    Praça, G. M., Abreu, C. O., Rochael, M., Moreira, P. D.
    Published in Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology (2025)
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  4. 4

    Within satisfaction and distress: Characterizing the first cultural transition of young talented Cameroonian footballers

    Waffo, B. T., Hauw, D.
    Published in Current Issues in Sport Science (2025)
    “…As successful talented footballers, they anticipated migration with professional contract as the guarantee of happiness. Actually, those young talented footballers navigated through the satisfaction of achieving professional level and distress. …”
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  5. 5

    Pass receiver and outcome prediction in soccer using temporal graph networks

    Rahimian, P., Kim, H., Schmid, M., Toka, L.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2023. Communications in Computer and Information Science (2024)
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  6. 6

    Waiting to score. Conversion probability and the video assistant referee (VAR) in football penalty kicks

    Veldkamp, J., Koning, R. H.
    Published in Journal of Sports Sciences (2023)
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  7. 7

    The pre-match talk: A multiple-method examination of youth-elite football coaches` motivational content

    Raya-Castellano, P. E., García-Calvo, T., López-Gajardo, M. A., Marzano-Felisatti, J. M., Pulido, J. J.
    Published in International Journal of Sports Science & Coaching (2023)
    “…Whilst researchers have outlined the effects of informational or emotional talks, little is known about the actual verbal strategies that coaches adopt to influence their players. …”
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  8. 8

    Contending with vulnerability and uncertainty: what coaches say about coaching

    Corsby, C. L., Jones, R., Lane, A.
    Published in Sports Coaching Review (2023)
    “…Firstly, to describe the informal rules of coaching that demand the appearance and expression of a certain persona. …”
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  9. 9

    Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

    Teranishi, M., Tsutsui, K., Takeda, K., Fujii, K.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (2022)
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  10. 10

    Into the eyes of the referee: A comparison of elite and sub-elite football referees` on-field visual search behaviour when making foul judgements

    van Biemen, T., Oudejans, R. R. D., Savelsbergh, G. J. P., Zwenk, F., Mann, D. L.
    Published in International Journal of Sports Science & Coaching (2023)
    “…In foul decision-making by football referees, visual search is important for gathering task-specific information to determine whether a foul has occurred. …”
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  11. 11

    Methods to collect and interpret external training load using microtechnology incorporating GPS in professional football: a systematic review

    Rago, V., Brito, J., Figueiredo, F., Costa, J., Barreira, D., Krustrup, P., Rebelo, A.
    Published in Research in Sports Medicine (2020)
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  12. 12

    6MapNet: Representing soccer players from tracking data by a triplet network

    Kim, H., Kim, J., Chung, D., Lee, J., Yoon, J., Ko, S.-K.
    Published in Machine Learning and Data Mining for Sports Analytics. MLSA 2021. Communications in Computer and Information Science (2022)
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  13. 13

    Pass2vec: Analyzing soccer players` passing style using deep learning

    Cho, H., Ryu, H., Song, M.
    Published in International Journal of Sports Science & Coaching (2022)
    “…Also, player similarity analysis confirmed the resemblance of players passes on three representative cases, showing the actual application and practical use of the method. …”
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  14. 14

    Quantification of training load relative to match load of youth national team soccer players

    Szigeti, G., Schuth, G., Revisnyei, P., Pasic, A., Szilas, A., Gabbett, T., Pavlik, G.
    Published in Sports Health: A Multidisciplinary Approach (2022)
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  15. 15

    Contact and SARS-CoV-2 infections among college football athletes in the Southeastern Conference during the COVID-19 pandemic

    Dixon, B. C., Fischer, R. S. B., Zhao, H., O`Neal, C. S., Clugston, J. R., Gibb, S. G.
    Published in JAMA network Open (2021)
    “…Despite 12% of athletes testing positive for SARS-CoV-2, only 18 had competed during the preceding 48 hours, and no downstream infections to members of the opposing team were apparent. Actual contacts were exceedingly brief, even when accumulated over an entire game. …”
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  16. 16

    Infographic. Recommendations for hamstring injury prevention in elite football: translating research into practice

    Buckthorpe, M., Wright, S., Virgile, A., Gimpel, M.
    Published in British Journal of Sports Medicine (2021)
    “…Despite an ever-increasing wealth of information emerging on the aetiology of HSIs, their incidence in football is increasing. …”
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  17. 17

    Goalkeeping in the soccer penalty kick: The dive is coordinated to the kicker's non-kicking leg placement, irrespective of time constraints

    Zheng, R., de Reus, C., van der Kamp, J.
    Published in Human Movement Science (2021)
    “…By omitting the requirement to actually dive or jump to the ball, these studies overlooked how action capabilities constrain goalkeepers' actions. …”
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  18. 18

    Are there differences in elite youth soccer player work rate profiles in congested vs. regular match schedules?

    Zanetti, V., Carling, C., Aoki, M. S., Bradley, P. S., Moreira, A.
    Published in The Journal of Strength and Conditioning Research (2021)
    “…Official international tournaments in which youth soccer players participate can involve very congested schedules. Yet, no information regarding physical and technical match performance during congested vs. regular (noncongested) cycles is available. …”
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  19. 19

    Organising football matches with spectators during the COVID-19 pandemic: What can we learn from the Amir Cup Football Final of Qatar 2020? A call for action

    Dergaa, I., Varma, A., Tabben, M., Malik, R. A., Sheik, S., Vedasalam, S., Khellil Abbassi, A., Almulla, J., Chaabane, M., Chamari, K.
    Published in Biology of Sport (2021)
    “…This article is a call for action for the organisers of such events where the supporters` health status is traceable to provide the scientific community with actual data of post-event infection rates. Therefore, it is suggested to consider using procedures like the ones described in the present article as a potential model in the process of organizing big sporting events with spectators in times of COVID-19.…”
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  20. 20

    Emotional games: How coaches' emotional expressions shape players' emotions, inferences, and team performance

    van Kleeff, G. A., Cheshin, A., Koning, L. F., Wolf, S. A.
    Published in Psychology of Sport and Exercise (2019)
    “…Drawing on emotions as social information (EASI) theory, we examined how coaches' emotional expressions influence players' affect, cognition, and behavior. …”
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