Classification of Passes in Football Matches using Spatiotemporal Data

no code implementations • 18 Jul 2014 • Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan

Experimental results show that we are able to produce a classifier with 85. 8% accuracy on classifying passes as Good, OK or Bad, and that the predictor variables computed using complex methods from computational geometry are of moderate importance to the learned classifiers.

Classification General Classification +1