Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/20316

Title: An Approach to Tactical Performance Optimization in a Big Data World
Authors: Folgado, Hugo
Issue Date: 2016
Citation: Folgado, H. (2016). An Approach to Tactical Performance Optimization in a Big Data World. Research Quarterly for Exercise and Sport. Supplement 87S1: S60.
Abstract: The amount of data collected from an individual player during a football match has increased significantly in recent years, following technological evolution in positional tracking. However, given the short time that separates competitions, the common analysis of these data focuses on the magnitude of actions of each player, while considering either technical or physical perform- ance. This focus leads to a considerable amount of information not being taken into account in performance optimization, particularly while considering a sequence of different matches of the same team. In this presentation, we will present a tactical performance indicator that considers players’ overall positioning and their level of coordination during the match. This performance indicator will be applied in different time scales, with a particular focus on possible practical applications.
URI: http://hdl.handle.net/10174/20316
Type: lecture
Appears in Collections:DES - Comunicações - Em Congressos Científicos Internacionais

Files in This Item:

File Description SizeFormat
Big_Data.pdf60.77 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois