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The structure of performance and training in esports

Nagorsky, Eugen ; Wiemeyer, Josef (2021):
The structure of performance and training in esports. (Publisher's Version)
In: PLOS ONE, 15 (8), ISSN 1932-6203,
DOI: 10.26083/tuprints-00019246,
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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Status: Publisher's Version
Title: The structure of performance and training in esports
Language: English
Abstract:

Esports as the competitive play of digital games has gained considerable popularity. However, a comprehensive framework for esport training is still missing. In this paper, a performance model integrating insights from game research and sport science is developed. Based on this model, an online questionnaire was designed and applied to investigate training in different esports regarding relevant competencies and training areas. Overall, 1,835 esports players voluntarily participated in the study. Age ranged from 13 to 47 years (M = 20,9; SD = 4,5), and males clearly dominated (95%). Furthermore, the mean weakly playing time was 20.03 hours (SD = 15.8). Training occupied 38.85% (7.75 h) of the playing time on average. On the one hand, the results reveal game-specific competence and training structures in the five esports selected for the study (Starcraft II, League of Legends, Rocket League, FIFA, and Counter Strike). On the other hand, the factor structure of competencies closely resembles the esports performance model. As a conclusion, esports training methods should always consider the specific competence profile of the respective esports game.

Journal or Publication Title: PLOS ONE
Journal volume: 15
Number: 8
Collation: 39 Seiten
Classification DDC: 700 Künste und Unterhaltung > 796 Sport
Divisions: 03 Department of Human Sciences > Institut für Sportwissenschaft
Date Deposited: 03 Aug 2021 07:21
Last Modified: 03 Aug 2021 07:21
DOI: 10.26083/tuprints-00019246
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-192463
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19246
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