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  1. 1

    Advancing NFL win prediction: from Pythagorean formulas to machine learning algorithms

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S.
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  2. 2

    Status quo des passiven Spiels: Von langen Angriffen und schnellen Abschlüssen (Status quo of passive play: from long attacks and quick finishes)

    Zipf, J.
    Published in Handballtraining (2025)
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  3. 3

    Foundations of expected points in rugby union: A methodological approach

    Martinez-Arastey, G., Datson, N., Smith, N., Robins, M.
    Published in Journal of Sports Analytics (2025)
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  4. 4

    The incidence and burden of concussion in men`s and women`s English professional football

    Sprouse, B., Morris, J., Cooper, S., Cowie, C., Kemp, S., Bennett, P., Varley, I.
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  5. 5

    Shoulder injury patterns and trends in the national football league: an epidemiological analysis

    Fares, M. Y., Daher, M., Boufadel, P., Singh, J., Bdeir, A., Koa, J., Lopez, J., Goltz, D., Abboud, J. A.
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  6. 6

    Health problems and injury management in adolescent handball: the Safeplay one-season cohort study of 679 players

    Møller, M., Johansen, S. I., Myklebust, G., Nielsen, R. O., Möller, S., Mikkelsen, U., Wedderkopp, N., Lind, M.
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  7. 7

    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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  8. 8

    DÉJÀ-VU: Spaniens Crunchtime-Taktik unter der Lupe (DÉJÀ-VU: Spain's crunch-time tactics under the microscope)

    Feldmann, K.
    Published in Handballtraining (2025)
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  9. 9

    Differences in performance analysis between won and lost teams in the top handball matches in the seasons before, during, and after the COVID-19 pandemic

    Krawczyk, P., Labinski, J., Szczebra, M., Smolinski, M., Sienko, M.
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  10. 10

    Can we just play? Internal validity of assessing physiological state with a semistandardized kicking drill in professional Australian football

    Arguedas-Soley, A., Shushan, T., Murphy, A., Poulos, N., Lovell, R., Norris, D.
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  11. 11

    Do female weightlifters snatch differently? Analysis of barbell kinematics using statistical parametric mapping

    Sandau, I., Rudloff, A.
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  12. 12

    Comparison of match outcomes between the pool and final stages of the Japan rugby top league

    Yamamoto, T., Sasaki, K., Murakami, J., Watanabe, I., Shimozono, H., Chiba, G.
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  13. 13

    Machine learning for handball game analysis using valid statistics linked to victory

    Kato, R., Kameda, T., Yamada, E., Fujimoto, H., Aida, H.
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  14. 14

    Epidemiology of injury and illness in North American professional men`s soccer: Comparing COVID-19 lockdown with previous seasons

    Hardin, S., Silverman, R., Brophy, R., Putukian, M., Silvers-Granelli, H.
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  15. 15

    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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  16. 16

    UEFA Women`s Elite Club Injury Study: a prospective study on 1527 injuries over four consecutive seasons 2018/2019 to 2021/2022 reveals thigh muscle injuries to be most common and...

    Hallén, A., Tomás, R., Ekstrand, J., Bengtsson, H., Van den Steen, E., Hägglund, M., Waldén, M.
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  17. 17

    23rd Annual Congress of the European College of Sport Science (ECSS), 4th-7th July, Dublin, Ireland. Book of Abstracts

    M. H. Murphy, C. A. G. Boreham, G. De Vito, E. Tsolakidis
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  18. 18

    Analysis of spatial offensive performance in handball: Differences between men's and women's senior world championships

    Gómez-López, M., Rivilla-García, J., González-García, I., Sánchez-López, S., Angosto, S.
    Published in Journal of Human Kinetics (2024)
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  19. 19

    Evolution of match performance parameters in elite men's handball 2012-2022

    Pascual, A., Font, R., Pascual, X., Lago-Peñas, C.
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  20. 20

    Incidence of concussions in elite female water polo: A retrospective analysis

    Croteau, F., Leclerc, S., Moroz, M.
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