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 …

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 …

How does spectator presence affect football? Home advantage remains in European top-class football matches played without spectators during the COVID-19 …

F Wunderlich, M Weigelt, R Rein, D Memmert - Plos one, 2021 - journals.plos.org
The present paper investigates factors contributing to the home advantage, by using the
exceptional opportunity to study professional football matches played in the absence of …

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 …

Coordinated multi-agent imitation learning

HM Le, Y Yue, P Carr, P Lucey - International Conference on …, 2017 - proceedings.mlr.press
We study the problem of imitation learning from demonstrations of multiple coordinating
agents. One key challenge in this setting is that learning a good model of coordination can …

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 …

[PDF][PDF] quality vs quantity: Improved shot prediction in soccer using strategic features from spatiotemporal data

P Lucey, A Bialkowski, M Monfort, P Carr… - 2015 - disneyresearch.s3.amazonaws.com
In this paper, we present a method which accurately estimates the likelihood of chances in
soccer using strategic features from an entire season of player and ball tracking data taken …

Large-scale analysis of soccer matches using spatiotemporal tracking data

A Bialkowski, P Lucey, P Carr, Y Yue… - … conference on data …, 2014 - ieeexplore.ieee.org
Although the collection of player and ball tracking data is fast becoming the norm in
professional sports, large-scale mining of such spatiotemporal data has yet to surface. In this …

Forvizor: Visualizing spatio-temporal team formations in soccer

Y Wu, X Xie, J Wang, D Deng, H Liang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Regarded as a high-level tactic in soccer, a team formation assigns players different tasks
and indicates their active regions on the pitch, thereby influencing the team performance …

Visual analysis of pressure in football

G Andrienko, N Andrienko, G Budziak, J Dykes… - Data Mining and …, 2017 - Springer
Modern movement tracking technologies enable acquisition of high quality data about
movements of the players and the ball in the course of a football match. However, there is a …