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  1. 1

    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. Subjects: “…mathematic-logical model…”
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  2. 2

    Exploring body composition and physical condition profiles in relation to playing time in professional soccer: a principal components analysis and Gradient Boosting approach

    Ulloa-Díaz, D., Fábrica-Barrios, G., Jorquera-Aguilera, C., Guede-Rojas, F., Pérez-Contreras, J., Lozano-Jarque, D., Carvajal-Parodi, C., Romero-Vera, L.
    Published in Frontiers in Physiology (2025)
    Subjects: “…mathematic-logical model…”
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  3. 3

    Advanced feature engineering in acute:chronic workload ratio (ACWR) calculation for injury forecasting in elite soccer

    Matas-Bustos, J. B., Mora-García, A. M., de Hoyo Lora, M., Nieto-Alarcón, A., Gonzalez-Fernández, F. T.
    Published in PLOS ONE (2025)
    Subjects: “…mathematic-logical model…”
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  4. 4

    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. Subjects: “…mathematic-logical model…”
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  5. 5

    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. Subjects: “…mathematic-logical model…”
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  6. 6

    Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning

    Gu, L., Wang, W., Plakias, S., Zhang, S. Subjects: “…mathematic-logical model…”
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  7. 7

    A methodical approach to the pre-match training of goalkeepers in beach soccer

    Privalov, A. V., Nifontov, M. Yu., Mukhamedzyanov, R. R., Dmitriev, I. V. “…Analysis of special literature and documents; pedagogical observations; pedagogical testing; goniometry; psychophysiological diagnostics (simple visual-motor reaction (hereinafter SMVMR), reaction to a moving object (hereinafter RMO), discrimination reaction (hereinafter DR) and choice reaction (hereinafter CR)); modeling; pedagogical experiment; methods of mathematical statistics. The practical testing of the model of pre-competitive training of goalkeepers in beach soccer was carried out on the basis of two leading professional football clubs: PFC Kristall (St. …”
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  8. 8

    A multidimensional prediction model for overtraining risk in youth soccer players: integrating physiological and psychological markers

    Qian, H., Lee, S.
    Published in Journal of Sports Sciences (2025)
    Subjects: “…mathematic-logical model…”
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  9. 9

    Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review

    Teixeira, J. E., Maio, E., Afonso, P., Encarnação, S., Machado, G. F., Morgans, R., Barbosa, T. M., Monteiro, A. M., Forte, P., Ferraz, R., Branquinho, L. Subjects: “…mathematic-logical model…”
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  10. 10

    Using a Bayesian network to classify time to return to sport based on football injury epidemiological data

    Yung, K. K. Y., Wu, P. P. Y., aus der Fünten, K., Hecksteden, A., Meyer, T.
    Published in PLOS ONE (2025)
    Subjects: “…mathematical statistics…”
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  11. 11

    A Bayesian approach to predict performance in football: a case study

    Ribeiro, G. G., da Costa, L. C. C., Ferreira, P. H., do Nascimento, D. C. Subjects: “…mathematical statistics…”
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  12. 12

    Prediction of football injuries using GPS-based data in Iranian professional football players: a machine learning approach

    Saberisani, R., Barati, A. H., Zarei, M., Santos, P., Gorouhi, A., Ardigò, L. P., Nobari, H. Subjects: “…mathematic-logical model…”
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  13. 13

    Own goals in football: do they occur randomly or exhibit systematic patterns?

    Mehta, S., Schlenger, J., Memmert, D., Wunderlich, F. Subjects: “…mathematic-logical model…”
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  14. 14

    Goal and shot prediction in ball possessions in FIFA Women`s World Cup 2023: a machine learning approach

    Iván-Baragaño, I., Ardá, A., Losada, J. L., Maneiro, R.
    Published in Frontiers in Psychology (2025)
    Subjects: “…mathematic-logical model…”
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  15. 15

    An educational review on machine learning: a swot analysis for implementing machine learning techniques in football

    Beato, M., Jaward, M. H., Nassis, G. P., Figueiredo, P., Clemente, F. M., Krustrup, P. Subjects: “…mathematic-logical model…”
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  16. 16

    Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach

    Altmann, S., Ruf, L., Thiem, S., Beckmann, T., Wohak, O., Romeike, C., Härtel, S.
    Published in Journal of Sports Sciences (2024)
    Subjects: “…mathematic-logical model…”
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  17. 17

    The fairness of the group draw for the FIFA World Cup

    Csató, L. Subjects: “…mathematics…”
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  18. 18

    Expected Pass Turnovers (xPT) - a model to analyse turnovers from passing events in football

    Peters, A. J., Parmar, N., Davies, M., Reeves, M., Sormaz, M., James, N.
    Published in Journal of Sports Sciences (2024)
    Subjects: “…mathematical statistics…”
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  19. 19

    Construction of 2022 Qatar World Cup match result prediction model and analysis of performance indicators

    Song, Y., Sun, G., Wu, C., Pang, B., Zhao, W., Zhou, R. Subjects: “…mathematic-logical model…”
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  20. 20

    Predicting goal probabilities with improved xG models using event sequences in association football

    Bandara, I., Shelyag, S., Rajasegarar, S., Dwyer, D., Kim, E.-J., Angelova, M.
    Published in PLOS ONE (2024)
    Subjects: “…mathematical statistics…”
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