149 citations · 529 across the 35 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 5 cited
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…
cs.LG2020★ 38 cited
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…
stat.AP2020★ 1 cited
Estimating locomotor demands during team play from broadcast-derived tracking data
Jacob Mortensen, Luke Bornn
The introduction of optical tracking data across sports has given rise to the ability to dissect athletic performance at a level unfathomable a decade ago. One specific area that h…