Big ideas in sports analytics and statistical tools for their investigation

Baumer, Benjamin S.; Matthews, Gregory J.; Nguyễn, Quang Vinh

doi:10.1002/wics.1612

Cited by 11 publications

(3 citation statements)

References 85 publications

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“…It is intriguing though that the betting industry, despite being at the cutting edge of this field and experiencing significant growth and innovation, has been largely overlooked in academic research. The very nature of their business requires them to be ahead of the pack, necessitating the production of highly accurate performance predictions and comprehensive analyses of trends through advanced sports analytics and statistical methodologies [18].…”

Section: Betting Industry and Sports Analyticsmentioning

confidence: 99%

Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?

Exel,

Dabnichki

2024

Applied Sciences

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In elite sports, athletic excellence demands meticulous performance preparation and a sound health status. This paper overviews the current propositions and applications of pervasive computing and data analytics and our vision on how they should be used in future frameworks to contribute to the optimal balance of athletes’ performance and health requirements. Two main areas will be discussed. The first area is Sports Performance Optimization, in which we consider interesting recent advancements in data analytics for performance improvement, equipment design, and team member recruitment and selection. We will also briefly discuss how the betting industry has been relaying and developing sports analytics. The second area is Athlete’s Wellness and Wellbeing, which will discuss how wearables and data analytics have been used to assess physical activity and sedentary behavior profiles, sleep and circadian rhythm, nutrition and eating behavior, menstrual cycles, and training/performance readiness. In the final part of this paper, we argue that a critical issue for managers to enhance their decision making is the standardization of acquired information and decision-making processes, while introducing an adaptable, personalized approach. Thus, we present and discuss new theoretical and practical approaches that could potentially address this problem and identify precision medicine as a recommended methodology. This conceptualization involves the integration of pervasive computing and data analytics by employing predictive models that are constantly updated with the outcomes from monitoring tools and athletes’ feedback interventions. This framework has the potential to revolutionize how athletes’ performance and well-being are monitored, assessed, and optimized, contributing to a new era of precision in sports science and medicine.

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Section: Betting Industry and Sports Analyticsmentioning

confidence: 99%

Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?

Exel,

Dabnichki

2024

Applied Sciences

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“…It is seen that this strategy is also used in the field of sports, which is one of the fields that attracts the most attention of people. In addition to many sportswear brands, sports clubs such as baseball clubs, American football clubs, football clubs, basketball clubs and volleyball clubs also apply these and some similar strategies in their logos (Kosciolek, 2019;Baumer et al, 2023). The aim is to create a unique and easily recognizable visual identity with a refreshed (rebranded) logo that fans can identify with.…”

Section: Rebranding Strategymentioning

confidence: 99%

Is it possible to evaluate rebranding and debranding strategies applied in sports club logos with eye tracking?

Aydin

2023

R. G. Secr.

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One of the most effective elements used by brands in communicating with their target audiences is logos. Knowing the impressive power of logos, brands apply some strategies on their logos from time to time to differentiate themselves from their competitors. At this point, one of the preferred strategies is rebranding and the other is debranding. Rebranding is a strategy that aims to reposition in the minds of the target audience and involves radical changes. Debranding is a strategy that expresses the process of simplifying the brand by giving up using its own name. Both strategies are frequently used in brand logos, helping brands renew themselves. However, changes to logos are vital for brands. For this reason, brands should accurately analyze their target audience's expectations before applying changes to their logos. At this point, one of the experimental neuromarketing methods that can be used to determine which logos will be appreciated by the target audience is Eye Tracking.

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“…Sports analytics is a growing area of research (Swartz, 2018), which has been defined as the pursuit of enhancing performance through data analysis (Baumer, Matthews & Nguyen, 2023). The way in which statistics enhances sports analytics is through deciphering signal from noise (Lopez, Matthews & Baumer, 2017).…”

Section: Introductionmentioning

confidence: 99%

Finding repeatable progressive pass clusters and application in international football

Deb,

Fernandez-Navarro,

McRobert

et al. 2024

JSA

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Progressive passing in football (soccer) is a key aspect in creating positive possession outcomes. Whilst this is well established, there is not a consistent way to describe the different types of progressive passes. We expand on the previous literature, providing a complete methodological approach to progressive pass clustering from selection of the number of clusters (k) to risk-reward profiling of these progressive pass types. In this paper the Separation and Concordance (SeCo) framework is utilised to provide a process to analyse k-means clustering solutions in a more repeatable way. The results demonstrate that we can find stable progressive pass clusters in International Football and their efficacy with progressive passes “Mid Central to Mid Half Space” in build-up and “Mid Half Space to Final Central” into the final 3rd having the best balance between risk (turnover) and reward (shot created) in the subsequent possession. This allowed for opposition profiling of player and team patterns in different phases of play, with a case study presented for the teams in the Last 16 of the 2022 World Cup.

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Big ideas in sports analytics and statistical tools for their investigation

Cited by 11 publications

References 85 publications

Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?

Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?

Is it possible to evaluate rebranding and debranding strategies applied in sports club logos with eye tracking?

Finding repeatable progressive pass clusters and application in international football

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