IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i11p2044-d238457.html
   My bibliography  Save this article

Players’ Physical Performance Decreased After Two-Thirds of the Season: Results of 3 Consecutive Seasons in the German First Bundesliga

Author

Listed:
  • Paweł Chmura

    (Department of Team Games, University School of Physical Education, 51-612 Wrocław, Poland)

  • Marek Konefał

    (Department of Biological and Motor Sport Bases, University School of Physical Education, 51-612 Wrocław, Poland)

  • Del P. Wong

    (Titi Sport Technology Company, Shenzhen 510810, China)

  • Antonio J. Figueiredo

    (Faculty of Sport Sciences and Physical Education, University of Coimbra, 3040-156 Coimbra, Portugal)

  • Edward Kowalczuk

    (Football Club, Hannover 96, 30169 Hannover, Germany)

  • Andrzej Rokita

    (Department of Team Games, University School of Physical Education, 51-612 Wrocław, Poland)

  • Jan Chmura

    (Department of Biological and Motor Sport Bases, University School of Physical Education, 51-612 Wrocław, Poland)

  • Marcin Andrzejewski

    (Department of Recreation, University School of Physical Education, 60-101 Poznań, Poland)

Abstract

The study aimed to: (1) investigate physical and technical performance among players during six consecutive phases of a competitive season, (2) determine if levels of match running and technical performance between the 1st and 6th phases of a season can be maintained, (3) and determine which phase features the lowest and highest values for variables assessed. Seventy out of 556 outfield players who played at least 80% of the matches in each phase of the Bundesliga seasons were analysed. Each season was divided into 6 phases: phase 1 (matches 1–6), phase 2 (7–11), phase 3 (12–17), phase 4 (18–23), phase 5 (24–28) and phase 6 (29–34). Thirteen variables were selected to quantify the physical and technical activity of players. Our results showed that by reducing the distances covered at intensities below 11 km·h −1 , players were able to cover greater distances at intensities in the range of 11–13.99 and 21–23.99 km·h −1 in subsequent phases of a season. Players’ capacity to maintain match running and technical performance between the first and sixth phases of the season has been demonstrated, though the 4th phase of the season showed a breakthrough point as regards the maintenance of exercise capacity among players participating in the Bundesliga.

Suggested Citation

  • Paweł Chmura & Marek Konefał & Del P. Wong & Antonio J. Figueiredo & Edward Kowalczuk & Andrzej Rokita & Jan Chmura & Marcin Andrzejewski, 2019. "Players’ Physical Performance Decreased After Two-Thirds of the Season: Results of 3 Consecutive Seasons in the German First Bundesliga," IJERPH, MDPI, vol. 16(11), pages 1-9, June.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:2044-:d:238457
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/11/2044/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/11/2044/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hongyou Liu & Will Hopkins & A. Miguel Gómez & S. Javier Molinuevo, 2013. "Inter-operator reliability of live football match statistics from OPTA Sportsdata," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 13(3), pages 803-821, December.
    2. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Damir Sekulic & Sime Versic & Andrew Decelis & Jose Castro-Piñero & Dejan Javorac & Goran Dimitric & Kemal Idrizovic & Igor Jukic & Toni Modric, 2021. "The Effect of the COVID-19 Lockdown on the Position-Specific Match Running Performance of Professional Football Players; Preliminary Observational Study," IJERPH, MDPI, vol. 18(22), pages 1-9, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anselmo Ruiz-de-Alarcón-Quintero & Blanca De-la-Cruz-Torres, 2024. "An Expected Goals on Target (xGOT) Metric as a New Metric for Analyzing Elite Soccer Player Performance," Data, MDPI, vol. 9(9), pages 1-9, August.
    2. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    3. Carlos Lago-Peñas & Miguel Gómez-Ruano & Gai Yang, 2017. "Styles of play in professional soccer: an approach of the Chinese Soccer Super League," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(6), pages 1073-1084, November.
    4. Lago-Peñas Carlos & Rey Ezequiel & Kalén Anton, 2019. "How does Video Assistant Referee (VAR) modify the game in elite soccer?," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 19(4), pages 646-653, July.
    5. Fernando Manuel Otero-Saborido & Rubén D. Aguado-Méndez & Víctor M. Torreblanca-Martínez & José Antonio González-Jurado, 2021. "Technical-Tactical Performance from Data Providers: A Systematic Review in Regular Football Leagues," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    6. Sombat Singkharat & Aree Wiboonpongse & Yaovarate Chaovanapoonphol, 2012. "Efficiency of improved peeled longan drying technology in Thailand: A metafrontier approach," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(3), pages 19-32, September.
    7. Jean-Baptiste Vilain, 2018. "Three essays in applied economics [Trois essais en économie appliquée]," SciencePo Working papers Main tel-03419493, HAL.
    8. Fiona Carmichael & Giambattista Rossi & Denis Thomas, 2017. "Production, Efficiency, and Corruption in Italian Serie A Football," Journal of Sports Economics, , vol. 18(1), pages 34-57, January.
    9. Fan, Jing-Li & Zhang, Hao & Zhang, Xian, 2020. "Unified efficiency measurement of coal-fired power plants in China considering group heterogeneity and technological gaps," Energy Economics, Elsevier, vol. 88(C).
    10. Kai Fischer & J. James Reade & W. Benedikt Schmal, 2021. "The Long Shadow of an Infection: COVID-19 and Performance at Work," Economics Discussion Papers em-dp2021-17, Department of Economics, University of Reading.
    11. Josef Jablonsky, 2018. "Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of Summer Olympic Games 2016," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(4), pages 951-966, December.
    12. repec:hal:spmain:info:hdl:2441/64devegb4f8l7a342ageb19ehc is not listed on IDEAS
    13. Mercedes Beltrán-Esteve & José Gómez-Limón & Andrés Picazo-Tadeo & Ernest Reig-Martínez, 2014. "A metafrontier directional distance function approach to assessing eco-efficiency," Journal of Productivity Analysis, Springer, vol. 41(1), pages 69-83, February.
    14. Walheer, Barnabé, 2018. "Aggregation of metafrontier technology gap ratios: the case of European sectors in 1995–2015," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1013-1026.
    15. M. Mozaffari & J. Gerami & J. Jablonsky, 2014. "Relationship between DEA models without explicit inputs and DEA-R models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 1-12, March.
    16. Yu, Ming-Miin, 2020. "Nerlovian profit inefficiency in non-fully-competitive settings: Definition and decomposition," Omega, Elsevier, vol. 90(C).
    17. Romano, Giulia & Molinos-Senante, María & Guerrini, Andrea, 2017. "Water utility efficiency assessment in Italy by accounting for service quality: An empirical investigation," Utilities Policy, Elsevier, vol. 45(C), pages 97-108.
    18. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    19. Molinos-Senante, María & Sala-Garrido, Ramón, 2018. "Evaluation of energy performance of drinking water treatment plants: Use of energy intensity and energy efficiency metrics," Applied Energy, Elsevier, vol. 229(C), pages 1095-1102.
    20. Arora, Nitin & Talwar, Shubhendra Jit, 2020. "Modelling efficiency in budget allocations for Indian states using window based non-radial non-concave metafrontier data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    21. Fabíola Zambom-Ferraresi & Lucía Isabel García-Cebrián & Fernando Lera-López & Belén Iráizoz, 2017. "Performance Evaluation in the UEFA Champions League," Journal of Sports Economics, , vol. 18(5), pages 448-470, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:2044-:d:238457. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.