Tracking systems in team sports: a narrative review of applications of the data and sport specific analysis

L Torres-Ronda, E Beanland, S Whitehead… - Sports Medicine …, 2022 - Springer
Seeking to obtain a competitive advantage and manage the risk of injury, team sport
organisations are investing in tracking systems that can quantify training and competition …

Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review

FR Goes, LA Meerhoff, MJO Bueno… - European Journal of …, 2021 - Taylor & Francis
In professional soccer, increasing amounts of data are collected that harness great potential
when it comes to analysing tactical behaviour. Unlocking this potential is difficult as big data …

[PDF][PDF] Decomposing the immeasurable sport: A deep learning expected possession value framework for soccer

J Fernández, L Bornn, D Cervone - 13th MIT Sloan Sports Analytics …, 2019 - lukebornn.com
What is the right way to think about analytics in soccer? Is the sport about measured events
such as passes and goals, possession percentages and traveled distance, or even more …

PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach

L Pappalardo, P Cintia, P Ferragina… - ACM Transactions on …, 2019 - dl.acm.org
The problem of evaluating the performance of soccer players is attracting the interest of
many companies and the scientific community, thanks to the availability of massive data …

Machine learning in men's professional football: Current applications and future directions for improving attacking play

M Herold, F Goes, S Nopp, P Bauer… - … Journal of Sports …, 2019 - journals.sagepub.com
It is common practice amongst coaches and analysts to search for key performance
indicators related to attacking play in football. Match analysis in professional football has …

A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions

J Fernández, L Bornn, D Cervone - Machine Learning, 2021 - Springer
The expected possession value (EPV) of a soccer possession represents the likelihood of a
team scoring or conceding the next goal at any time instance. In this work, we develop a …

Artificial intelligence for team sports: a survey

R Beal, TJ Norman, SD Ramchurn - The Knowledge Engineering …, 2019 - cambridge.org
The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

Sports big data: management, analysis, applications, and challenges

Z Bai, X Bai - Complexity, 2021 - Wiley Online Library
With the rapid growth of information technology and sports, analyzing sports information has
become an increasingly challenging issue. Sports big data come from the Internet and show …

[HTML][HTML] Attacking key performance indicators in soccer: current practice and perceptions from the elite to youth academy level

M Herold, M Kempe, P Bauer… - Journal of sports science & …, 2021 - ncbi.nlm.nih.gov
Abstract Key Performance Indicators (KPIs) are used to evaluate the offensive success of a
soccer team (eg penalty box entries) or player (eg pass completion rate). However …

Influence of social media marketing in development of customer trust and satisfaction through the moderating role of electronic word of mouth

MA Shafiq, MMA Khan, R Gul, M Hussain… - Journal of Social …, 2023 - ojs.jssr.org.pk
The study's objectives were to inspect how media marketing influenced the development of
customer satisfaction and trust through the mediating effect of consumer engagement. In …