Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science

R Rein, D Memmert - SpringerPlus, 2016 - Springer
Until recently tactical analysis in elite soccer were based on observational data using
variables which discard most contextual information. Analyses of team tactics require …

Spatio-temporal analysis of team sports

J Gudmundsson, M Horton - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
Team-based invasion sports such as football, basketball, and hockey are similar in the
sense that the players are able to move freely around the playing area and that player and …

Current approaches to tactical performance analyses in soccer using position data

D Memmert, KAPM Lemmink, J Sampaio - Sports medicine, 2017 - Springer
Tactical match performance depends on the quality of actions of individual players or teams
in space and time during match-play in order to be successful. Technological innovations …

A public data set of spatio-temporal match events in soccer competitions

L Pappalardo, P Cintia, A Rossi, E Massucco… - Scientific data, 2019 - nature.com
Soccer analytics is attracting increasing interest in academia and industry, thanks to the
availability of sensing technologies that provide high-fidelity data streams for every match …

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 …

A survey of content-aware video analysis for sports

HC Shih - IEEE Transactions on circuits and systems for video …, 2017 - ieeexplore.ieee.org
Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

A survey on video action recognition in sports: Datasets, methods and applications

F Wu, Q Wang, J Bian, N Ding, F Lu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much 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 …

Data-driven detection of counterpressing in professional football: a supervised machine learning task based on synchronized positional and event data with expert …

P Bauer, G Anzer - Data Mining and Knowledge Discovery, 2021 - Springer
Detecting counterpressing is an important task for any professional match-analyst in football
(soccer), but is being done exclusively manually by observing video footage. The purpose of …