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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
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  2. 2

    Künstliche Intelligenz und maschinelles Lernen in der Sportwissenschaft (Artificial intelligence and machine learning in sports science)

    D. Memmert
    Published 2025
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  3. 3

    Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables

    Yagin, F. H., Hasan, U. C. H., Clemente, F. M., Eken, O., Badicu, G., Gulu, M.
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  4. 4

    Monitoring the external load of counter-attack drills in youth soccer using GPS devices: The influence of time pressure and numerical superiority on players` responses

    Rochael, M., Praça, G. M.
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  5. 5

    Aerodynamic comparisons between Al Rihla and recent World Cup soccer balls

    Goff, J. E., Hong, S., Asai, T.
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  6. 6

    Development of an innovative method for evaluating a network of collective defensive interactions in football

    Pacheco, R., Ribeiro, J., Couceiro, M., Davids, K., Garganta, J., Marques-Aleixo, I., Nakamura, F., Casanova, F., González-Víllora, S.
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  7. 7

    Prediction of soccer clubs` league rankings by machine learning methods: The case of Turkish Super League

    Tümer, A. E., Akyildiz, Z., Güler, A. H., Saka, E. K., Ievoli, R., Palazzo, L., Clemente, F. M.
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  8. 8

    Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup

    Luo, Y., Quan, T., Cao, Y.
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  9. 9

    Validity and reliability of catapult vector S7 GNSS units in distance measurement

    Ocak, M. F., Sentürk, D., Akyildiz, Z.
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  10. 10

    Wearable technology detects altered COD strategies in football players post-ACLR without impacting completion time

    Marques, J., Sideris, V., Whiteley, R., Santiago, P.
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  11. 11

    AI in Bundesliga match analysis - expected possession value (EPV) vs. expected goals (xG) to predict match outcomes in soccer

    Forcher, L., Forcher, L., Woll, A., Altmann, S.
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  12. 12

    A qualitative examination of football players` acceptability and perceptions on the use of virtual reality in football training

    Shields, A. U., Neumann, D. L., Stainer, M. J.
    Published in PLOS ONE (2025)
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  13. 13

    VAR consultation patterns and their association with fouls and misconduct: an analysis of the top five European football leagues

    Nazarudin, M. N., Abdul Majeed, A. P. P., Musa, R. M., Raj, N. B., Kuan, G., Abu Osman, N. A.
    Published in PLOS ONE (2025)
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  14. 14

    Augmented intelligence for FIFA predictions

    Jethuri, K., Emmadi, S. C., Samudrala, S., Natarajan, J., Ghotkar, P., Natu, M.
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  15. 15

    Submaximal intensity periods in game-based drills vs. match demands in professional football

    Caro, E., Lapuente-Sagarra, M., Caparrós, T., Campos-Vázquez, M. Á., Pajón, D.
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  16. 16

    Investigating static water uptake characteristics and mechanisms for leather and synthetic association footballs

    Phillips, I., Harland, A., Mitchell, S., Lepper, P.
    Published in Sports Engineering (2025)
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  17. 17

    Analysis of the offensive playing style based on pass event data in the 2023 FIFA Women`s World Cup: an unsupervised machine learning approach

    Iván-Baragaño, I., Ardá, A., Losada, J. L., Maneiro, R.
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  18. 18

    Reliability and utility of the Skills.Lab arena as a real-time measurement technology for soccer technique and cognitive performance

    Dolata, M., Zwierko, T., Bojkowski, L., Moran, B., Sliwowski, R.
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  19. 19

    Beyond playing positions: categorizing soccer players based on match-specific running performance using machine learning

    de Haan, M., van der Zwaard, S., Sanders, J., Beek, P. J., Jaspers, R. T.
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  20. 20

    Specific physical development of midfielders in comparative football from youth to senior level: insight from objective parameters measured with advanced wearable technology

    Izzo, R., Catani, A., Cejudo, A., Cruciani, A., Giovannelli, M., Hosseini, C., Crudelini, E.
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