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 …
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 …
when it comes to analysing tactical behaviour. Unlocking this potential is difficult as big data …
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …
unprecedented analytics possibilities in various team and individual sports, including …
State of the art of sports data visualization
In this report, we organize and reflect on recent advances and challenges in the field of
sports data visualization. The exponentially‐growing body of visualization research based …
sports data visualization. The exponentially‐growing body of visualization research based …
A survey on location and motion tracking technologies, methodologies and applications in precision sports
Sports involve commonly players and equipment of high dynamics. Their location and
motion data are essential for sports digitalization-related applications, such as from …
motion data are essential for sports digitalization-related applications, such as from …
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 …
(soccer), but is being done exclusively manually by observing video footage. The purpose of …
[PDF][PDF] quality vs quantity: Improved shot prediction in soccer using strategic features from spatiotemporal data
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 …
soccer using strategic features from an entire season of player and ball tracking data taken …
Identifying soccer teams' styles of play: a scoping and critical review
Identifying and measuring soccer playing styles is a very important step toward a more
effective performance analysis. Exploring the different game styles that a team can adopt to …
effective performance analysis. Exploring the different game styles that a team can adopt to …
Forvizor: Visualizing spatio-temporal team formations in soccer
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 …
and indicates their active regions on the pitch, thereby influencing the team performance …
Visual analysis of pressure in football
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 …
movements of the players and the ball in the course of a football match. However, there is a …