5  Introduction to Sport Data Analytics (1)

5.1 Introduction

A number of papers in sport data analytics have focused on the rapid proliferation of technology in sports, especially within elite and performance-driven settings [1].

Authors have reflected on how ‘data-centric’ approaches are transforming athletic training and competition, with a strong emphasis on generating extensive data sets for personalised athlete analysis and supporting coaching decisions.

However, critiques of this over-reliance on technology caution against the potential downsides, such as the impact on athlete autonomy and the risk of creating an environment overly dependent on quantitative data [2].

Both of our papers this week advocate for a balanced use of technology, urging stakeholders to consider not only the practical applications but also the broader cultural and sociological impacts. This suggests a more ‘nuanced’ approach to integrating technology in sport to preserve the human element in athletic performance.

References

  • [1] G. Giblin, E. Tor, and L. Parrington, “The impact of technology on elite sports performance,” Sensoria: A Journal of Mind, Brain and Culture, vol. 12, no. 2, 2016. [Online]. Available here.

  • [2[ C. McCosker, F. W. Otte, M. Rothwell, and K. Davids, “Principles for technology use in athlete support across the skill level continuum,” International Journal of Sports Science & Coaching, vol. 17, no. 4, pp. 437-444, 2021, https://doi.org/10.1177/17479541211033471

5.2 Guided Reading

Both papers for this week are available for reading and download via the module reading list, which can be accessed via myplace.

  • G. Z. Kohe and L. G. Purdy, “Analytical attractions and the techno-continuum: Conceptualising data obsessions and consequences in elite sport,” Sport, Education and Society, vol. 24, no. 7, pp. 742-755, 2019. Available here.

    D. Collins, H. J. Carson, and A. Cruickshank, “Blaming Bill Gates AGAIN! Misuse, overuse and misunderstanding of performance data in sport,” Sport, Education and Society, vol. 20, no. 8, pp. 1088-1099, 2015. Available here.

Key Observations

These two papers cover a range of relevant topics to our exploration of sport data analytics.

Specifically, they deal with:

  • Technological proliferation in sport: Both papers discuss the significant increase in technology use within sports settings, particularly in performance/elite sport.

  • Data-centric approaches: The first paper (Kohe & Purdy) highlights the generation of large volumes of data intended to aid athletes, emphasising the importance of personalised data for individual analysis. The second paper (Collins et al.) also mentions the use of technology in aiding coach decision-making and potentially empowering players.

  • Critique of technological over-reliance: Kohe & Purdy critique the excessive quantification of athletes’ performance, suggesting it can introduce insecurity and perpetuate a culture overly reliant on empirical data as “truth.” The second paper discusses research that portrays technology as potentially undermining player autonomy and identity through excessive control by management and coaches.

  • Call for ’balanced’ technology Use: Both papers call for a thoughtful approach to the use of technology in sports. They suggest careful consideration of the type of technology used, its purposes, and how decisions related to technology are communicated and adopted by athletes and teams.

  • Cultural and sociological implications: The discussion in both papers reflects a broader cultural and sociological shift due to technological advancements in sport. The authors recommend that stakeholders consider the broader implications and potential changes in sporting culture due to technological dispositions.

5.3 Questions for Reflection

  • How can the balance between the beneficial use of technology and the potential for over-reliance be maintained in sports training and performance monitoring? For example, think about how technology should be employed to enhance performance without compromising athletes’ autonomy and intrinsic motivation.

  • What might the potential long-term effects of a data-driven approach be on an athlete’s mental health and identity within their sport? Reflect on how continuous quantification and analysis might impact athletes’ self-perception, confidence, and their role within the team.

  • In what ways can coaches and sports organisations ensure that technology implementation is both ethical and effective? Think about the ethical considerations and the methods by which technology is introduced to athletes, including how coaches and management can foster an environment of collaboration and transparency regarding technological use.