352 citations · 395 across the 3 of their papers we have counts for
5 papers
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
Javier Fernandez, Luke Bornn, Daniel Cervone
The expected possession value (EPV) of a soccer possession represents the likelihood of a team scoring or receiving the next goal at any time instance. By decomposing the EPV into…
SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer
Javier Fernández, Luke Bornn
We present a fully convolutional neural network architecture that is capable of estimating full probability surfaces of potential passes in soccer, derived from high-frequency spat…
Using Player's Body-Orientation to Model Pass Feasibility in Soccer
Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +2
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time. The method leverages offensive player's o…
Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players
Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández +3
Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analy…
Effective injury forecasting in soccer with GPS training data and machine learning
Alessio Rossi, Luca Pappalardo, Paolo Cintia +3
Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players. Existing studies in…