Search Results - Big data

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  1. 1

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

    D. Memmert
    Published 2025
    “…Durch die Integration von Big Data können Spielergebnisse, Fitnessparameter und individuelle Leistungen eingehend analysiert werden, was zu neuen Entwicklungen in der Forschung führt. …”
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  2. 2

    The role of speed, change of direction, and momentum by position and starting status in Division I collegiate football players

    Mann, J. B., Cowley, N., Weakley, J. “…This study (a) investigated differences between big, mid, and skill positions in sprint and change of direction times and momentum; (b) compared starting and nonstarting athletes; and (c) investigated whether thresholds can be developed to distinguish between starting and nonstarting Division 1 collegiate football athletes. …”
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  3. 3

    Career path clustering of elite soccer players among European Big-5 nations utilizing dynamic time warping

    Wolf, V., Lanwehr, R., Bieschke, M., Leyhr, D. “…Therefore, this study aims to propose a methodology how a career path can be represented as a time series of a player`s seasonal qualities and then be clustered with players that have a similar career path. The underlying data focuses on soccer players from the five largest European soccer nations (Big-5). …”
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  4. 4

    Wearable devices and digital biomarkers for optimizing training tolerances and athlete performance: a case study of a national collegiate athletic association Division III soccer t...

    Seshadri, D. R., VanBibber, H. D., Sethi, M. P., Harlow, E. R., Voos, J. E.
    Published in Sensors (2024)
    “…The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season. …”
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  5. 5

    The keys of pressing to gain the ball - Characteristics of defensive pressure in elite soccer using tracking data

    Forcher, L., Forcher, L., Altmann, S., Jekauc, D., Kempe, M.
    Published in Science and Medicine in Football (2024)
    “…Recently, the availability of big amounts of data enables analysts to dive deeper into the constraints of performance in various team sports. …”
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  6. 6

    Match running performance characterizing the most elite soccer match-play

    Modric, T., Versic, S., Morgans, R., Sekulic, D.
    Published in Biology of Sport (2023)
    “…In order to identify match running performance (MRP) characterizing the most elite soccer matchplay, this study aimed to examine position-specific differences in the MRP of players competing in "big five" (BFLTs) and "non-big five" league teams (N-BFLTs). …”
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  7. 7

    Teamwork and performance in professional women's football: A network-based analysis

    de Jong, L. M. S., Gastin, P. B., Bruce, L., Dwyer, D. B. “…Big Data…”
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  8. 8

    Fußball - Von Big Data zu Smart Data (Football - From Big Data to Smart Data)

    Jankowski, T.
    Published 2023
    “…Football - From Big Data to Smart Data…”
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  9. 9

    Big Data im Profifußball (Big data in professional football)

    Schulze, E.
    Published in Sportphysio (2021)
    “…Big data in professional football…”
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  10. 10

    How does the increase in foreign players affect football?

    Sever, O., Cigerci, E., Öztop, M., Ipekoglu, G., Gönülates, S., Akyildiz, Z., Nobari, H. “…For this purpose, in this long-term study, 1836 competition data played in 6 seasons between 2014 and 2020 was obtained from www.mackolik.com each year. …”
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  11. 11

    Neuromuscular activity of young soccer players in SSGs with and without goalkeepers

    Fernando, S., Cátia, F., Mário, E. “…Participating players compete in the district football championships 7 and 9, national under-15 championship and U-23 Revelation League.The data were collected through GPS devices, certified by FIFA, Wimu ProTM, placed on the upper back of the trunk, using wimu-specific vests for this purpose. …”
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  12. 12

    KPIs in der Bundesliga (KPIs in the Bundesliga)

    Raabe, D.
    Published in Spielanalyse im Sportspiel (2022)
    “…Messbare Unterschiede in der Fußballbundesliga anhand von Big Data 4. Möglichkeiten zur Validierung von Leistungsparametern 5. …”
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  13. 13

    Workloads of different soccer-specific drills in professional players

    Chena, M., Morcillo-Losa, J. A., Rodríguez-Hernández, M. L., Asín-Izquierdo, I., Pastora-Linares, B., Zapardiel, J. C.
    Published in Journal of Human Kinetics (2022)
    “…GPS technology was used to record the data. One hundred and thirty-two (n = 132) soccer-specific drills were studied and grouped by categories. …”
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  14. 14

    Barca innovation Hub

    “…Big Data…”
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  15. 15

    Wellness forecasting by external and internal workloads in elite soccer players: A machine learning approach

    Rossi, A., Perri, E., Pappalardo, L., Cintia, P., Alberti, G., Norman, D., Iaia, F. M.
    Published in Frontiers in Physiology (2022)
    “…Big Data…”
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  16. 16

    6MapNet: Representing soccer players from tracking data by a triplet network

    Kim, H., Kim, J., Chung, D., Lee, J., Yoon, J., Ko, S.-K. “…Although the values of individual soccer players have become astronomical, subjective judgments still play a big part in the player analysis. Recently, there have been new attempts to quantitatively grasp players` styles using video-based event stream data. …”
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  17. 17

    The incidence and mechanism of heading in European professional football players over three seasons

    Tierney, G. J., Higgins, B. “…Big Data…”
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  18. 18

    COVID-19 vaccination, herd immunity and the transition toward normalcy: Challenges with the upcoming sports event

    Dergaa, I., Abdelrahman, H., Varma, A., Yousfi, N., Souissi, A., Ghram, A., Hammad, A. S., Musa, E. R., Taheri, M., Irandoust, K., Chtourou, H., Rafiei, M. M., Ghasemi, M., Farzian, S.
    Published in Annals of Applied Sport Science (2021)
    “…The current report is a summary of data regarding challenges faced by the COVID-19 vaccination campaign and the challenges for a transition toward normalcy, especially for big sports events. …”
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  19. 19

    Pain processing in elite and high-level athletes compared to non-athletes

    Pettersen, S. D., Aslaksen, P. M., Pettersen, S. A.
    Published in Frontiers in Psychology (2020)
    “…Background: Previous studies shows that elite and high-level athletes possess consistently higher pain tolerance to ischemic and cold pain stimulation compared to recreationally active. However, the data previously obtained within this field is sparse and with low consistency. …”
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  20. 20

    Zukunftsperspektive von Sportinformatik & Sporttechnologie im Leistungs- und Breitensport (Future prosepcts of sport informatics and sport technology im elite and grassroot sport)

    U. Fehr, V. Werner
    Published 2021
    “…Sports Innovation: Smart Equipment and Wearable Technology " Session Informations- und Feedbacksysteme " Sport-Informationssysteme - Review verschiedener Produkte basierend auf einem sportinformatischen Architekturkonzept " Effiziente Suche und Bewertung von Szenen in Spielsportarten " Überprüfung zeitlicher und räumlicher Genauigkeit im Trampolinturnen Validierung einer Web-Applikation zum Fern-Monitoring von Belastungs- und Erholungsparametern " Einsatzmöglichkeiten und Transfer von Künstlicher Intelligenz im internationalen Spitzensport - zwischen Small und Big Data " Einsatz von Künstlicher Intelligenz im internationalen Spitzensport - Eine Erhebung des Status Quo " Darstellung von Informationen im Bereich des Peripheren Sehens bei Sportlern/innen " Session Messtechnik und Datenanalyse 1 " Eignet sich OpenPose zur 3-D-Analyse im Leistungssport? …”
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