Esports Performance and Management Strategies
Summary
Esports has evolved into a global competitive arena in which success hinges on an interplay of cognitive-motor skills, physiological regulation, psychological resilience and sophisticated organisational practices. Performance strategies encompass structured training regimens that address game-specific competencies alongside general cognitive and perceptual faculties. Cutting-edge analytics harness in-game telemetry to inform real-time decision-making and broadcast optimisation, while psychological interventions such as mental toughness training and stress-coping protocols are adapted from traditional sports science. Management strategies extend from health and wellbeing programmes to community engagement, governance frameworks and fan development, reflecting the multifaceted nature of the industry. Together, these approaches aim to optimise individual and team output, ensure long-term athlete welfare and foster sustainable growth across global esports ecosystems.
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Esports Performance and Management Strategies publication trend
The graph below shows the total number of articles in esports performance and management strategies across all publications each year (not limited to Nature Index journals).
Technical terms
Telemetry data: Quantitative records of in-game actions and physiological or behavioural metrics captured during gameplay.
Performance model: A conceptual framework outlining the key competencies and training areas required for high-level esports performance.
Recurrent neural network (RNN): A class of machine learning algorithm designed to process sequential data by maintaining a temporal memory of past inputs.
F1 score: A performance metric combining precision and recall to assess the accuracy of classification models.
Fan identity: The degree to which an individual psychologically identifies with and engages in a specific esports community or team.
References
- The structure of performance and training in esports. PLOS ONE (2020).
- Time to Die 2: Improved in-game death prediction in Dota 2. Machine Learning with Applications (2023).
- An exploration of esports fan identity, engagement practices, and motives. Telematics and Informatics Reports (2023).
- Stress and Coping in Esports and the Influence of Mental Toughness. Frontiers in Psychology (2020).
- Video Game Telemetry as a Critical Tool in the Study of Complex Skill Learning. PLOS ONE (2013).
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