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  1. 1

    Importance of linebreaks in rugby union: The case of a winning team

    Béchard, T., Combe, M., Moretto, P., Pasquaretta, C.
    Published in Journal of Sports Analytics (2025)
    “…Journal of Sports Analytics…”
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  2. 2

    Tactical advantages of first-phase attack from scrums in rugby sevens: Focusing on formations and offensive structure

    Furukawa, T., Takeda, R.
    Published in Japan Journal of Physical Education, Health and Sport Sciences (2025)
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  3. 3

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

    Weirich, C., Kim, J. W., Yoon, Y., Jeong, S.
    Published in Frontiers in Sports and Active Living (2025)
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  4. 4

    Expected game value (xGV): a novel approach for strategic decision-making in rugby union

    Chéradame, J., Carling, C., Pisseloup, M., Pinczon du Sel, N.
    Published in International Journal of Performance Analysis in Sport (2025)
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  5. 5

    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)
    “…Journal of Sports Analytics…”
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  6. 6

    Home advantage in English rugby union: A study of divisional differences since 2000/01

    Boyd, H., Fonseca, J., Turner, M., & Ranaweera, J.
    Published in Journal of Sports Analytics (2025)
    “…Journal of Sports Analytics…”
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  7. 7

    Under pressure: Integrating machine learning to quantify clutch moments in American football

    Aich, A., Bhattacharjee, D., Saikia, H.
    Published in International Journal of Sports Science & Coaching (2025)
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  8. 8

    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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  9. 9

    Weighted approaches to assessing injury burden in team sports

    Glazer, A., Binney, Z., Seth, T.
    Published in Journal of Sports Analytics (2025)
    “…Journal of Sports Analytics…”
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  10. 10

    Predicting handball matches with machine learning and statistically estimated team strengths

    Felice, F., Ley, C.
    Published in Journal of Sports Analytics (2025)
    “…Journal of Sports Analytics…”
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  11. 11

    Monitoring external load during real competition in male handball players through big data analytics: Differences by playing positions

    Manchado, C., Tortosa-Martinez, J., Marcos-Jorquera, D., Gilart-Iglesias, V., Pueo, B., Chirosa-Rios, L. J.
    Published in Kinesiology (2024)
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  12. 12

    Competitive profile analysis according to playing positions of female handball players during the European Championship 2020

    Zapardiel, J. C., Asin-Izquierdo, I., Manchado, C., Marcos-Jorquera, D., Gilart-Iglesias, V., Lozano, D.
    Published in International Journal of Performance Analysis in Sport (2024)
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  13. 13

    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)
    “…Journal of Sports Analytics…”
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  14. 14

    Operational insights into analysing team and player performance in elite rugby league: a narrative review with case examples

    Wedding, C. J., Woods, C. T., Sinclair, W. H., Leicht, A. S.
    Published in Sports Medicine - Open (2022)
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  15. 15

    Optimising classification in sport: a replication study using physical and technical-tactical performance indicators to classify competitive levels in rugby league match-play

    Adeyemo, V. E., Palczewska, A., Jones, B., Weaving, D., Whitehead, S.
    Published in Science and Medicine in Football (2024)
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  16. 16

    Parametric modeling and analysis of NFL run plays

    Biro, P., Walker, S.
    Published in Journal of Sports Analytics (2023)
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  17. 17

    Worst-case scenario analysis of physical demands in elite men handball players by playing position through big data analytics

    Cartón-Llorente, A., Lozano, D., Iglisias, V. G., Jorquera, D. M., Manchado, C.
    Published in Biology of Sport (2023)
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  18. 18

    Prevention strategies and modifiable risk factors for sport-related concussions and head impacts: a systematic review and meta-analysis

    Eliason, P. H., Galarneau, J.-M., Kolstad, A. T., Pankow, M. P., West, S. W., Bailey, S., Miutz, L., Black, A. M., Broglio, S. P., Davis, G. A., Hagel, B. E., Smirl, J. D., Stokes, K. A., Takagi, M., Tucker, R., Webborn, N., Zemek, R., Hayden, A., Schneider, K. J., Emery, C. A.
    Published in British Journal of Sports Medicine (2023)
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  19. 19

    Missing data in sport science: a didactic example using wearables in american football

    Tenan, M. S.
    Published in Sports Medicine (2023)
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  20. 20

    Randomness, uncertainty, and the optimal college football championship tournament size

    Muller, G., Hood, S., Sokol, J.
    Published in Journal of Sports Analytics (2023)
    “…Journal of Sports Analytics…”
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