NDLI: Performance analysis in soccer: a Cartesian coordinates based approach using RoboCup data

Content Provider	Springer Nature Link
Author	Abreu, Pedro Henriques Moura, José Silva, Daniel Castro Reis, Luís Paulo Garganta, Júlio
Copyright Year	2011
Abstract	In soccer, like in business, results are often the best indicator of a team’s performance in a certain competition but insufficient to a coach to asses his team performance. As a consequence, measurement tools play an important role in this particular field. In this research work, a performance tool for soccer, based only in Cartesian coordinates is presented. Capable of calculating final game statistics, suisber of shots, the calculus methodology analyzes the game in a sequential manner, starting with the identification of the kick event (the basis for detecting all events), which is related with a positive variation in the ball’s velocity vector. The achieved results were quite satisfactory, mainly due to the number of successfully detected events in the validation process (based on manual annotation). For the majority of the statistics, these values are above 92% and only in the case of shots do these values drop to numbers between 74 and 85%. In the future, this methodology could be improved, especially regarding the shot statistics, integrated with a real-time localization system, or expanded for other collective sports games, such as hockey or basketball.
Starting Page	47
Ending Page	61
Page Count	15
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	16
Issue Number	1
e-ISSN	14337479
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-06
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Soccer heuristics definition Game events detection Cartesian coordinates system Player and ball position Control, Robotics, Mechatronics Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Computational Intelligence
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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