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  1. 1

    Analyse des olympischen Zyklus 2021-2024 im Judo (Analysis of the 2021-2024 Olympic cycle in judo)

    Leonhardt, S., Nowoisky, C.
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  2. 2

    Competitive game technology at the stage of sports specialization of freestyle wrestlers in the Sakha Republic

    Ponomarev V. V., Efimov A. A., Bartnovskaya L. A., Kravchenko V. M.
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  3. 3

    Contemporary methods and technological advancements for evaluating the swiftness and precision of thrusts in swordsmanship

    Britskiy V. A., Aikin V. A.
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  4. 4

    Tactical analysis in Olympic wrestling: a Markov chain approach

    Moussa, I., Drider, A., Vitel, V., Schortgen, A., Leroy, P., Sauliere, G., Goyallon, T., Fruchard, B., Vazeilles, P., Reveret, L., Toussaint, J.
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  5. 5

    Constructing a diagnosis model and visualizing the risk relationship between biomarkers and overuse injuries in well-trained wrestlers

    Xizhang, H., Gao, B.
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  6. 6

    A model for optimizing the learning of basic techniques of fight in standing position for young judokas

    Pimenovs, E., Fernate, A., Pimenovs, A.
    Published in LASE Journal of Sport Science (2022)
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  7. 7

    Gender and perspectives on training and techniques: analyses of the system of attacks in standing up position

    Calmet, M., Pierantozzi, E.
    Published in The Arts and Sciences of Judo (2021)
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  8. 8

    Athlete rating in multi-competitor games with scored outcomes via monotone transformations

    Che, J., Glickman, M.
    Published in arXiv e-print repository (2022)
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  9. 9

    Model'nye harakteristiki tehniko-takticheskojpodgotovlennosti borcov vysokoj kvalifikaciigreko-rimskogo stilja razlichnyh vesovyh kategorij (Model characteristics of technico-tactical fitness of highly skilled Greco-Roman wrestlers of different weight categories)

    Tropin, Y., Korobeynikov, G., Shatskikh, V., Korobeynikova, L., Vorontsov, A.
    Published in Science in Olympic Sport (2019)
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  10. 10

    Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match

    Cirino, C., Gobatto, C. A., Pinto, A. S., Torres, R. S., Hartz, C. S., Azevedo, P. H. S. M., Moreno, M. A., Manchado-Gobatto, F. B.
    Published in Scientific Reports (2021)
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  11. 11

    National women`s wrestling elite: competitive performance rating and monitoring system improvement model

    Tarakanov, B. I., Apoyko, R. N., Petrov, S. I., Vorobyeva, N. V.
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  12. 12

    Performance analysis considering the technical-tactical variables in female judo athletes at different sport skill levels: optimization of predictors

    Klys, A., Sterkowicz-Przybycien, K., Adam, M., Casals, C.
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  13. 13

    Sports experts` unique perception of time duration based on the processing principle of an integrated model of timing

    Jia, B., Zhang, Z., Feng, T.
    Published in PeerJ (2020)
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  14. 14

    Model characteristics of sensorimotor reactions and specific perceptions of wrestlers among different weight categories

    Tropin, Y., Korobeynikov, G., Curby, D., Vorontsov, A., Shatskih, V.
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  15. 15

    Modeling the force characteristics of lifting actions based on electromyographic research in highly qualified wrestlers

    Dvorkin L. S., Dyushko O. I.
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  16. 16

    Logical scheme based fight control strategies in martial arts: judo case study

    Litmanovich, A. V., Martin, A. A., Razumov, V. I.
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  17. 17

    An analysis model for studying the determinants of throwing scoring actions during standing judo

    Mayo, X., Dopico-Calvo, X., Iglesias-Soler, E.
    Published in Sports (2019)
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  18. 18

    The advantage of lefties in one-on-one sports

    Fagan, F., Haugh, M., Cooper, H.
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  19. 19

    Application of training periodization models by elite judo coaches

    Tavares Junior, A. C., Drigo, A.
    Published in Archives of Budo (2017)
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  20. 20

    Predicting judo champions and medallists using statistical modelling

    Norjali Wazir, M. R. W., Torfs, M., Mostaert, M., Pion, J., Lenoir, M.
    Published in Archives of Budo (2017)
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