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  1. 1

    Machine learning in sports: Open approach for next play analytics

    Fujii, K.
    Published 2025
    “…technical and natural sciences…”
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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
    “…technical and natural sciences…”
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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. “…technical and natural sciences…”
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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. “…technical and natural sciences…”
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  5. 5

    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. “…technical and natural sciences…”
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  6. 6

    Aerodynamic comparisons between Al Rihla and recent World Cup soccer balls

    Goff, J. E., Hong, S., Asai, T. “…technical and natural sciences…”
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  7. 7

    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. “…technical and natural sciences…”
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  8. 8

    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. “…technical and natural sciences…”
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  9. 9

    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. “…BACKGROUND: Muscle issues such as soreness, cramps, and strains are common consequences of sports exercise, making it critical to accurately identify the nature of muscle discomfort. It is important for not only medical professionals but also athletes and sports enthusiasts to independently identify and manage the risk of muscle strain. …”
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  10. 10

    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. “…technical and natural sciences…”
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  11. 11

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

    Ocak, M. F., Sentürk, D., Akyildiz, Z. “…technical and natural sciences…”
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  12. 12

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

    Marques, J., Sideris, V., Whiteley, R., Santiago, P. “…technical and natural sciences…”
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  13. 13

    Comparison of anthropometric and performance characteristics in elite male football and handball players

    Karadenizli, Z. I., Ilbak, I., Bartik, P.
    Published in Journal of Human Sport & Exercise (2026)
    “…Elite-level athletes develop distinct performance profiles shaped by training regimens tailored to the specific physical and physiological demands of their respective sports. The nature of the sport, training methods, and game dynamics directly influence the development of strength, power, speed, and anthropometric characteristics. …”
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  14. 14

    A novel pathway to characterise footballs for finite element analysis

    Barnes-Wood, M. J., Ramos, H., Santiago, R., Theobald, P. “…technical and natural sciences…”
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  15. 15

    Competitive-level and leg preference effects on vertival ground reaction forces in soccer kicking

    Zhang, Y., Navandar, A., Navarro, E. “…technical and natural sciences…”
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  16. 16

    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. “…technical and natural sciences…”
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  17. 17

    Analysis of elite football players serving in leagues from the perspective of squad-league networks: A case study of FIFA world cups from 1950 to 2022

    Yang, C., Ma, R., Exel, J., Pyta, W., Lames, M. “…These findings highlight the dynamic and uneven nature of global football labour markets. The study offers new insights for sports managers and policymakers, suggesting that understanding these mobility patterns can help strengthen the competitiveness of domestic leagues and guide policy responses to the challenges and opportunities posed by globalization in football. …”
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  18. 18

    Position specific technical actions within elite academy football across variety of small-sided games

    Conway, K. “…The findings of this study suggest that SSG formats with decreased player numbers should be maintained for longer within the foundation phase of youth football, due to the skill acquisition and development opportunities children may miss out on through the more position/role specific nature of larger formats.…”
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  19. 19

    Analysis of match performance of elite soccer players across confederations during the Men`s and Women`s World Cup

    Ju, W., Cost, R., Oliva-Lozano, J. M.
    Published in Science and Medicine in Football (2025)
    “…technical and natural sciences…”
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  20. 20

    Bilateral strength balance of knee extensor and flexor muscles in female soccer players

    Andrades-Ramírez, O., Ulloa-Díaz, D., Romero-Vera, L., Alfaro-Castillo, B., Muñoz-Bustos, G., Jorquera-Aguilera, C., Carvajal-Parodi, C., Chirosa-Ríos, L.-J.
    Published in Frontiers in Physiology (2025)
    “…technical and natural sciences…”
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