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  1. 1

    Training load, mileage, and perceived exertion as a predictive model of injury and illness in women`s soccer

    Franks, C., Yockey, A., Bosley, N., Myers, T., Armstrong, K., Valliant, M., Wade, C.
    Published in Sports (2025)
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  2. 2

    A comparison of methods to predict ovulation day, menstrual cycle characteristics and variability in professional female soccer players

    Anderson, R., Rollo, I., Martin, D., Burden, R., Randell, R. K., Twist, C., Moss, S. L.
    Published in Experimental Physiology (2026)
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  3. 3

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

    D. Memmert
    Published 2025
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  4. 4

    Quantifying athlete wellness: Investigating the predictive potential of subjective wellness reports through a player monitoring system

    Alexandersen, A., Pettersen, S. D., Johansen, D.
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  5. 5

    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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  6. 6

    Detecting muscle strain in professional football players through plasma myoglobin levels

    Saita, Y., Yamamoto, N., Fukushima, Y., Izawa, H., Idadate, D., Harada, K., Ohyama, T., Inoue, J., Ishijima, M.
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  7. 7

    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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  8. 8

    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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  9. 9

    How strong is strong enough? Assessing when physical performance tests cease to be predictive of sprint performance in trained football players

    Vial, S., Scanlan, M., Beranek, P., Kadlec, D., Barley, O. R., Cochrane Wilkie, J.
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  10. 10

    Exploring injury profiles in professional football: evidence from a five-year study and the role of the functional movement screen

    Bayrak, A.
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  11. 11

    Re-examining the reliability and validity of 30-15IFT for VO2max prediction in male collegiate soccer players: a pilot study

    Cheng, R., Lin, W., Song, L., Pan, J., Wang, N., Li, X.
    Published in Frontiers in Physiology (2025)
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  12. 12

    Augmented intelligence for FIFA predictions

    Jethuri, K., Emmadi, S. C., Samudrala, S., Natarajan, J., Ghotkar, P., Natu, M.
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  13. 13

    Predicting sports injuries in college soccer players: Insights from physical characteristics, fatigue, and performance trends

    Yoshida, N., Koido, M., Kobayashi, T., Nakamura, M., Dohi, M., Waki, H., Mashimo, S., Kato, H.
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  14. 14

    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)
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  15. 15

    Playing position as a predictor of strength and endurance among U-19 soccer players

    Žuvela, F., Cikotic, L., Jelaska, I.
    Published in Acta Kinesiologica (2025)
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  16. 16

    Handgrip strength in elite youth football: potential for performance prediction and the moderating effects of age and maturation

    Schulz, S. V. W., Wizani, L., Matits, L., Schwarz, E., Wiedemann, P., Bizjak, D. A., Jerg, A., Kirsten, J., Henze, A.-S.
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  17. 17

    Predicting the match outcome in the 2023 FIFA Women`s World Cup and analysis of influential features

    Oliva-Lozano, J. M., Vidal, M., Yousefian, F., Cost, R., Gabbett, T. J.
    Published in Journal of Human Kinetics (2025)
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  18. 18

    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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  19. 19

    Staying in the game? Predicting intention to quit in Norwegian elite and high-level female football players

    Pettersen, S. D., Handegård, B. H., Koposov, R., Martinussen, M., Kyrrestad, H., Aasheim, M., Rasmussen, L.-M. P., Adolfsen, F.
    Published in Soccer & Society (2025)
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  20. 20

    A predictive metamodel for college football

    Coleman, B. J.
    Published in Journal of Sports Analytics (2025)
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