Search Results for author: Javier Fernández

Found 6 papers, 2 papers with code

Is it worth the effort? Understanding and contextualizing physical metrics in soccer

no code implementations5 Apr 2022 Sergio Llana, Borja Burriel, Pau Madrero, Javier Fernández

We present a framework that gives a deep insight into the link between physical and technical-tactical aspects of soccer and it allows associating physical performance with value generation thanks to a top-down approach.

SoccerMap: A Deep Learning Architecture for Visually-Interpretable Analysis in Soccer

1 code implementation20 Oct 2020 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 spatiotemporal data.

Decision Making

Using Player's Body-Orientation to Model Pass Feasibility in Soccer

no code implementations15 Apr 2020 Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro

Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time.

Decision Making

Always Look on the Bright Side of the Field: Merging Pose and Contextual Data to Estimate Orientation of Soccer Players

no code implementations2 Mar 2020 Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester

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 analytics' research.

Sports Analytics Super-Resolution

PassNet: Learning pass probability surfaces from single-location labels. An architecture for visually-interpretable soccer analytics

no code implementations25 Sep 2019 Javier Fernández, Luke Bornn

We propose a fully convolutional network architecture that is able to estimate a full surface of pass probabilities from single-location labels derived from high frequency spatio-temporal data of professional soccer matches.

Decision Making Sports Analytics +1

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