Search Results - International Journal of Computer Science in Sport

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  1. 1

    Prediction of perceived exertion ratings in national level soccer players using wearable sensor data and machine learning techniques

    Leppich, R., Kunz, P., Bauer, A., Kounev, S., Sperlich, B., Düking, P.
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  2. 2

    Pre- to post-season changes in body composition and movement quality and quantity in D1 football players

    Jones, B., Bakcha, O., Byun, C., Kramarenko, V., Martinez, C., McClain, J., Tousant, M., Bernhardt, V., Oldham, M. D.
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  3. 3

    Elite-level cooperation and opposition dynamics during defensive transitions: Using computer vision data to estimate the pass and dribbling progression conceded

    Freitas, R., Lopes, R. J., Sarajärvi, J., Volossovitch, A.
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  4. 4

    Transferring between sports: the case of Icelandic youth sport

    Donoghue, P. O., Maute, M. M., Jóhannsson, K. V., Þorgeirsson, S., Kristjánsdóttir, H., Saavedra, J. M., Oddsson, H. R “…International Journal of Computer Science in Sport…”
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  5. 5

    Which indicators matter? Using performance indicators to predict in-game success-related events in association football

    Lang, S., Wimmer, T., Erben, A., Link, D. “…International Journal of Computer Science in Sport…”
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  6. 6

    Measuring player pace of play in elite female association football

    Bransen, L., Davis, J.
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  7. 7

    The fairness of the group draw for the FIFA World Cup

    Csató, L.
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  8. 8

    Short-term cocoa supplementation influences microbiota composition and serum markers of lipid metabolism in elite male soccer players.

    Mancin, L., Rollo, I., Golzato, D., Segata, N., Petri, C., Pengue, L., Vergani, L., Cassone, N., Corsini, A., Mota, J. F., Sut, S., Dall`Acqua, S., Paoli, A.
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  9. 9

    Modified bivariate poisson-lindley model: properties and applications in soccer

    Haddari, A., Zeghdoudi, H., Vinoth, R. “…International Journal of Computer Science in Sport…”
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  10. 10

    Using multiple machine learning algorithms to classify distinguishing characteristics between elite defenders and their sub-elite counterparts in professional men`s football

    Phatak, A., Schlenger, J., Jamil, M., Mehta, S., Biermann, H., Memmert, D.
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  11. 11

    Skill or luck? analysing random influences on goal scoring in football

    Wunderlich, F., Seck, A., Memmert, D.
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  12. 12

    Chance factors in football: goals, conversions, Schedule and season

    Lames, M.
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  13. 13

    Accuracy of three global positioning systems for determining speed and distance parameters in professional soccer

    Schmidt, M., Nolte, K., Kolodziej, M., Ulbricht, A., Jaitner, T.
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  14. 14

    Critical speed models of high-resolution speed-duration profiles describe peak running demands in soccer

    Mizelman, E., Pearson, A., Chu, D., Clarke, D. C.
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  15. 15

    The success-score in professional football: a metric of playing style or a metric of match outcome?

    Brinkjans, D., Paul, Y., Perl, J., Memmert, D. “…International Journal of Computer Science in Sport…”
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  16. 16

    The Kos Angle, an optimizing parameter for football expected goals (xG) models

    Karim, H., Marwane, L. “…International Journal of Computer Science in Sport…”
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  17. 17

    Success-score in professional soccer - Is there a sweet spot in the analysis of space and ball control?

    Brinkjans, D., Memmert, D., Paul, Y., Perl, J. “…International Journal of Computer Science in Sport…”
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  18. 18

    Field conditions is a risk factor for traumatic injury in youth football - A joint venture of medicine and hydrology

    Jordt, I., Thygesen, M. M., Johansen, T. A., Jensen, K. H., Agger, P.
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  19. 19

    A systematic review of sport-related packages within the R CRAN repository

    Casals, M., Fernández, J., Martínez, V., Lopez, M., Langohr, K., Cortés, J.
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  20. 20

    Analysis of relationship between training load and recovery status in adult soccer players: a machine learning approach

    Mandorino, M., Figueiredo, A. J., Cima, G., Tessitore, A. “…International Journal of Computer Science in Sport…”
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