Predicting soccer events from optical tracking data Optik takip verisinden futbol olaylarinin kestirimi


Özdemir E., ALEMDAR H.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2018.8404561
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.1-4

Abstract

© 2018 IEEE.In this study, an automated method for predicting soccer events such as corner kick, free kick, goals and penalties has been developed using optical tracking data with random forest classifier. The study was conducted on a dataset of 140 matches from Turkish Football Federation Super League 2017-2018 season. The average accuracy on validation set is %93.8 and %91.4 on a separate held-out test set.