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  1. 1

    Training process modeling of hammer throwers taking into account peculiarities of stress adaptation

    Bolotin, A., Bakayev, V.
    Published in Proceedings of the 6th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS (2018)
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  2. 2

    Analysis of the developmental trends of results of hammer throwers in Croatia from 2008 to 2020: original scientific paper

    Štekovic, K., Strukar, S.
    Published in Homosporticus (2021)
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  3. 3

    Prediction of throwing distance in the men`s and women`s javelin final at the 2017 IAAF world championships

    Krzyszkowski, J., Kipp, K.
    Published in Journal of Sports Sciences (2021)
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  4. 4

    Prediction of throwing distance in the men's javelin at the 2017 IAAF world championships

    Krzyszkowski, J., Kipp, K.
    Published in ISBS Proceedings Archive (Michigan) (2019)
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  5. 5

    Analyse des Olympiazyklus 2012-2016 in den leichtathletischen Wurfdisziplinen (Analysis of the Olympic cycle 2012-2016 in the athletic throwing disciplines)

    Lehmann, F., Badura, M., Schaa, W., Werrstein, S., Perlt, B.
    Published in Olympiaanalyse Rio 2016: Olympiazyklusanalysen und Auswertungen der Olympischen Spiele 2016 (2017)
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  6. 6

    Mathematical models that predict athletic performance in the men's throwing events at the Olympic Games

    Heazlewood, I. T., Walsh, J.
    Published in Proceedings of the 12th Australasian Conference on Mathematics and Computers in Sport (2014)
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  7. 7

    The development and prognosis of the world´s best performances in the women athletic throwing disciplines until 2016

    Brodani, J.
    Published in Acta Universitatis Matthiae Belii, Physical Education and Sport (2013)
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  8. 8

    Modelling analysis and prediction of women javelin throw results in the years 1946 — 2013

    Grycmann, P., Maszczyk, A., Socha, T., Golas, A., Wilk, M., Zajac, T., Przednowek, K.
    Published in Biology of Sport (2015)
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  9. 9

    The relevance of control trials in competitional performance predictability in throwing events

    Margareta, A.
    Published in Science, Movement & Health (2015)
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  10. 10

    Time series approach to athletes motor potential

    Maszczyk, A., Roczniok, R., Pietraszewski, P., Stanula, A., Zajac, A., Golas, A.
    Published in Polish Journal of Sport and Tourism (2012)
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  11. 11

    Predictors of personal best performance in the hammer throw for U.S. collegiate throwers

    Judge, L. W., Bellar, D., McAtee, G., Judge, M.
    Published in International Journal of Performance Analysis in Sport (2010)
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  12. 12

    Progress and prediction of World record performances in jump and throw athletic events

    Pilianidis, T., Douda, E., Smilios, E., Tokmakidis, S.
    Published in Pre-olympic Congress 2004. Thessaloniki, Grécia. de 6 a 11 de Agosto de 2004 (2004)
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  13. 13

    Electromyographic parameters predicting shot put performance

    Terzis, G., Georgiadis, G.
    Published in Book of Abstracts - 9th Annual Congress European College of Sport Science, July 3-6, 2004, Clermont-Ferrand, France (2004)
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  14. 14

    Trend of Olympic Games shot put results

    Milanovic, D., Harasin, D.
    Published in Book of Abstracts - 9th Annual Congress European College of Sport Science, July 3-6, 2004, Clermont-Ferrand, France (2004)
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  15. 15

    The validity of general and specific strength tests to predict the Shot Put performance - a pilot study

    Reis, V. M., Ferreira, A. J.
    Published in International Journal of Performance Analysis in Sport (2003)
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