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  1. 1

    A visual analytics approach to basketball game understanding using image-based tracking and event detection

    Karungaru, S., Tanioka, H.
    Published in International Journal of Computer Science in Sport (2025)
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  2. 2

    Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning

    Gu, L., Wang, W., Plakias, S., Zhang, S.
    Published in International Journal of Sports Science & Coaching (2025)
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  3. 3

    Athlete monitoring in handball (ATHMON HB): a survey of current practice in professional women`s and men`s handball

    Henze, A.-S., Burger, J., Matits, L., Degenhardt, H., Fehske, K., Kirsten, J., Schulz, S. V. W.
    Published in BMC Sports Science, Medicine and Rehabilitation (2025)
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  4. 4

    Leveraging expected action value to measure on-court decision-making skills in basketball

    Jutamulia, I., Hosoi, A. E.
    Published in Journal of Sports Analytics (2025)
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  5. 5

    Tracking what truly matters: the contribution of game load, recovery, and well-being to basketball performance

    Zhang, S., Li, M., Chen, L., Wang, X., Lorenzo, A., Conte, D., Scanlan, A. T.
    Published in International Journal of Sports Physiology and Performance (2025)
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  6. 6

    The diagnostic accuracy of EyeGuide Focus testing for concussion in elite male rugby players

    Fuller, G. W., Brown, J., Dunlop, M., Raftery, M., Falvey, É. C.
    Published in The Physician and Sportsmedicine (2025)
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  7. 7

    Jump-Aware: player position rectification and identification in dynamic sports using jump event spotting

    Oo, Y. M., Jamsrandorj, A., Chao, V., Nguyen, H. Q., Hwang, Y., Mun, K.-R., Kim, J.
    Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (2025)
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  8. 8

    Understanding acceleration-based load metrics: from concepts to implementation

    Freitas, J., Moreira, A., Carvalho, J., Conceição, F., Estriga, L.
    Published in Sensors (2025)
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  9. 9

    Maximal intensity periods during international male field hockey

    Goods, P. S. R., Appleby, B., Scott, B. R., Peeling, P., Galna, B.
    Published in European Journal of Sport Science (2025)
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  10. 10

    Interunit reliability of firstbeat sport sensors as accelerometer-based tracking devices in basketball

    Conte, D., Rampinini, E., Trimarchi, F., Ferioli, D.
    Published in International Journal of Sports Physiology and Performance (2025)
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  11. 11

    Contextual factors matter: A two-year exploration into the impact of contextual factors on elite women`s rugby sevens match-play movement demands

    Published in PLOS ONE (2025)
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  12. 12

    A comparison of the most intense periods (MIPs) during competitive matches and training over an 8-week period in a male elite field hockey team

    Büchel, D., Döring, M., Baumeister, J.
    Published in Journal of Science in Sport and Exercise (2025)
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  13. 13

    Evaluating external load responses to cumulative playing time and position in the European Handball Federation Women`s Euro 2022 through an IoT and Big Data architecture approach

    Karcher, C., Font, R., Marcos-Jorquera, D., Gilart-Iglesias, V., Manchado, C.
    Published in Biology of Sport (2025)
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  14. 14

    Athlete monitoring systems in elite men`s basketball: challenges, recommendations, and future perspectives

    Burger, J., Henze, A.-S., Voit, T., Latzel, R., Moser, O.
    Published in Translational Sports Medicine (2024)
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  15. 15

    Automated detection of change of direction in basketball players using xsens motion tracking

    Pinelli, S., Zinno, R., Jòdar-Portas, A., Prats-Puig, A., Font-Lladó, R., Bragonzoni, L.
    Published in Sensors (2025)
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  16. 16

    Are fluctuations in physical performance affected by contextual fafctors in women`s handball matches? An analysis using five-minute fixed phases

    García-Sánchez, C., Navarro, R. M., Nieto-Acevedo, R., de la Rubia, A.
    Published in Biology of Sport (2025)
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  17. 17

    Menstrual-cycle and hormonal-contraceptive tracking in Gaelic football: From the lab to the field

    Taim, B. C., Ó Catháin, C., Elliott-Sale, K. J., Madigan, S., Ní Chéilleachair, N.
    Published in International Journal of Sports Physiology and Performance (2025)
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  18. 18

    Two clusterings to capture basketball players` shooting tendencies using tracking data: clustering of shooting styles and the shots themselves

    Yamada, K., Fujii, K.
    Published in International Journal of Computer Science in Sport (2025)
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  19. 19

    Perceptions of menstrual cycle tracking among elite rugby players

    Verrier, A., Knight, C. J., & Brown, N.
    Published in Journal of Sports Sciences (2024)
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  20. 20

    The relationships between reaction time scores and false start penalties of offensive linemen in the National Football League (NFL)

    Bowman, J. K., Krywaruczenko, D., De Flon, B. G., Boone, R. T.
    Published in Perceptual and Motor Skills (2024)
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