Data analytics in the football industry: a survey investigating operational frameworks and practices in professional clubs and national federations from around the world

Lolli, Lorenzo, Bauer, Pascal, Irving, Callum, Bonanno, Daniele, Höner, Oliver, Gregson, Warren ORCID: https://orcid.org/0000-0001-9820-5925 and Di Salvo, Valter (2024) Data analytics in the football industry: a survey investigating operational frameworks and practices in professional clubs and national federations from around the world. Science and Medicine in Football. pp. 1-10. ISSN 2473-3938

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Abstract

The use of data and analytics in professional football organisations has grown steadily over the last decade. Nevertheless, how and whether these advances in sports analytics address the needs of professional football remain unexplored. Practitioners from national federations qualified for the FIFA World Cup Qatar 2022™ and professional football clubs from an international community of practitioners took part in a survey exploring the characteristics of their data analytics infrastructure, their role, and their value for elaborating player monitoring and positional data. Respondents from 29 national federations and 32 professional clubs completed the survey, with response rates of 90.6% and 77.1%, respectively. Summary information highlighted the underemployment of staff with expertise in applied data analytics across organisations. Perceptions regarding analytical capabilities and data governance framework were heterogenous, particularly in the case of national federations. Only a third of national federation respondents (~30%) perceived information on positional data from international sports data analytics providers to be sufficiently clear. The general resourcing limitations, the overall lack of expertise in data analytics methods, and the absence of operational taxonomies for reference performance metrics pose constraints to meaningful knowledge translations from raw data in professional football organisations.