Download PDF
Sportphysio 2021; 09(02): 65-73
DOI: 10.1055/a-1338-7480
Focus
Vertiefung

Big Data im Profifußball

Emiel Schulze
› Further Information
    Permissions and Reprints

Um Spieler im Profifußball optimal vorzubereiten und deren Leistungsfähigkeit zu steigern, reichen subjektive Entscheidungen heute nicht mehr aus. Zuverlässige Daten sind erforderlich, um die Qualität der Wahrnehmung zu stützen und dauerhaft Spitzenleistungen zu ermöglichen. Allerdings ist die dabei anfallende Datenmenge sehr groß, weshalb ohne Digitalisierung nichts mehr geht.



Publication History

Article published online:
07 May 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 

  • Literatur

  • 1 Akenhead R, Nassis GP. Training load and player monitoring in high-level football: Current practice and perceptions. Int J Sports Physiol Perform 2016; 11: 587-593
    CrossrefPubMedGoogle Scholar
  • 2 Barreira P, Robinson MA, Drust B. et al. Mechanical player load using trunk-mounted accelerometry in football: Is it a reliable, task- and player-specific observation?. J Sports Sci 2017; 35: 1674-1681
    CrossrefPubMedGoogle Scholar
  • 3 Bartlett JD, O’Connor F, Pitchford N. et al. Relationships between internal and external training load in team-sport athletes: Evidence for an individualized approach. Int J Sports Physiol Perform 2017; 12: 230-234
    CrossrefPubMedGoogle Scholar
  • 4 Borresen J, Lambert MI. Quantifying training load: A comparison of subjective and objective methods. Int J Sports Physiol Perform 2008; 3: 16-30 DOI: 10.1123/ijspp.3.1.16.
    CrossrefPubMedGoogle Scholar
  • 5 Bradley PS, Carling C, Gomez Diaz A. et al. Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Hum Mov Sci 2013; 32: 808-821
    CrossrefPubMedGoogle Scholar
  • 6 Buchheit M, Allen A, Poon TK. et al. Integrating different tracking systems in football: Multiple camera semi-automatic system, local position measurement and GPS technologies. J Sports Sci 2014; 32: 1844-1857
    CrossrefPubMedGoogle Scholar
  • 7 Burgess DJ. The research doesn’t always apply: Practical solutions to evidence-based training-load monitoring in elite team sports. Int J Sports Physiol Perform 2017; 12: S2136-S2141
    CrossrefPubMedGoogle Scholar
  • 8 Dalen T, Ingebrigtsen J, Ettema G. et al. Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer. J Strength Cond Res 2016; 30: 351-359
    CrossrefPubMedGoogle Scholar
  • 9 Di Salvo V, Collins A, McNeill B. et al. Validation of Prozone®: A new video-based performance analysis system. Int J Perf Anal Spor 2006; 6: 108-119
    Google Scholar
  • 10 Fessi MS, Zarrouk N, Di Salvo V. et al. Effects of tapering on physical match activities in professional soccer players. J Sports Sci 2016; 34: 2189-2194
    CrossrefPubMedGoogle Scholar
  • 11 Foster C. Monitoring training in players with reference to overtraining syndrome. Med Sci Sports Exerc 1998; 30 (07) 1164-8
    CrossrefPubMedGoogle Scholar
  • 12 Freiwald J. Individualisierung aus trainingswissenschaftlicher Sicht – eine Voraussetzung für Höchstleistungen im Fußball. In: Bund Deutscher Fußball-Lehrer (BDFL). ITK 2013 – Dokumentation.
    Google Scholar
  • 13 Gabbet TJ. The training–injury prevention paradox: Should players be training smarter and harder?. Br J Sports Med 2016; 50: 273-280
    CrossrefPubMedGoogle Scholar
  • 14 Gazzano F. Getting started with workload management: A practical guide to workload management & injury prevention in sport. Athlete Monitoring. 2019
    PubMedGoogle Scholar
  • 15 Halson SL. Monitoring training load to understand fatigue in athletes. Sports Med 2014; 44 (Suppl. 02) S139-147
    CrossrefPubMedGoogle Scholar
  • 16 Hickey J, Shield AJ, Williams MD. et al. The financial cost of hamstring strain injuries in the Australian Football League. Br J Sports Med 2014; 48: 729-730
    CrossrefPubMedGoogle Scholar
  • 17 Hoppe MW, Slomka M, Baumgart C. et al. Match running performance and success across a season in german Bundesliga soccer teams. Int J Sports Med 2015; 36: 563-566
    Article in Thieme ConnectPubMedGoogle Scholar
  • 18 Impellizzeri FM, Rampinini E, Coutts AJ. et al. Use of RPE-based training load in soccer. Med Sci Sports Exerc 2004; 36: 1042-1047
    CrossrefPubMedGoogle Scholar
  • 19 Kelly DM, Strudwick AJ, Atkinson G. et al. Quantification of training and match-load distribution across a season in elite English Premier League soccer players. Science and Medicine in Football 2019; 4: 59-67
    CrossrefGoogle Scholar
  • 20 Lambert MI, Borresen J. Measuring training load in sports. Int J Sports Physiol Perform 2010; 5: 406-411
    CrossrefPubMedGoogle Scholar
  • 21 Link D, de Lorenzo MF. Seasonal pacing – match importance affects activity in professional soccer. PLoS One 2016; 11: e0157127
    CrossrefPubMedGoogle Scholar
  • 22 Linke D, Link D, Lames M. Validation of electronic performance and tracking systems EPTS under field conditions. PLoS One 2018; 13: e0199519
    CrossrefPubMedGoogle Scholar
  • 23 Mackenzie R, Cushion C. Performance analysis in football: A critical review and implications for future research. J Sports Sci 2013; 31: 639-676
    CrossrefPubMedGoogle Scholar
  • 24 Malone JJ, Lovell R, Varley MC. et al. Unpacking the black box: Applications and considerations for using GPS devices in sport. Int J Sports Physiol Perform 2017; 12: 218-226
    CrossrefPubMedGoogle Scholar
  • 25 Meyer T, Ferrauti A, Kellermann M. et al. (Hrsg.) Regenerationsmanagement im Spitzensport (Teil 2). Bundesinstitut für Sportwissenschaft. Bonn: 2020
    Google Scholar
  • 26 Paul DJ, Bradley PS, Nassis GP. Factors affecting match running performance of elite soccer players: Shedding some light on the complexity. Int J Sports Physiol Perform 2015; 10: 516-519
    CrossrefPubMedGoogle Scholar
  • 27 Sarmento H, Marcelino R, Anguera MT. et al. Match analysis in football: A systematic review. J Sports Sci 2014; 32: 1831-1843
    CrossrefPubMedGoogle Scholar
  • 28 Schimpchen J, Gopaladesikan S, Meyer T. The intermittent nature of player physical output in professional football matches: An analysis of sequences of peak intensity and associated fatigue responses. Eur J Sport Sci 15.06.2020; 1-10
    CrossrefPubMedGoogle Scholar
  • 29 Scott BR, Lockie RG, Knight TJ. et al. A comparison of methods to quantify the in-season training load of professional soccer players. Int J Sports Physiol Perform 2013; 8: 195-202
    CrossrefPubMedGoogle Scholar
  • 30 Sportschau.de. https://www.sportschau.de/fussball/nationalmannschaft/loew-belastung-steuerung-100.html Stand 8.2.2021
  • 31 Stevens TG, de Ruiter CJ, van Niel C. et al. Measuring acceleration and deceleration in soccer-specific movements using a local position measurement (LPM) system. Int J Sports Physiol Perform 2014; 9: 446-456
    CrossrefPubMedGoogle Scholar
  • 32 Vanrenterghem J, Nedergaard NJ, Robinson MA. et al. Training load monitoring in team sports: A novel framework separating physiological and biomechanical load-adaptation pathways. Sports Med 2017; 47: 2135-2142
    CrossrefPubMedGoogle Scholar
  • 33 Williams S, West S, Cross MJ. et al. Better way to determine the acute:chronic workload ratio?. Br J Sports Med 2017; 51: 209-210
    CrossrefPubMedGoogle Scholar