JFA Platform for Football Analysis
Fábio Silva, Pedro Passos, Octavian Postolache
2015
Abstract
The aim of the article was to present a Java Platform for Football Analysis, designed and implemented for football game analysis. The framework presents capability on game analysis based on players coordinates inputs and helping coaches and players to extract information from processed games. The analysis tools to achieve this aim used collective metrics based on player’s positioning on the three team sectors: defensive; middle and; offensive. This allows analyzed player’s collective behaviors before critical situations (e.g., shot on goal). Data revealed that a decrease on interpersonal distances between the defensive sector and the offensive sector affords an opportunity to score.
References
- Benesty, J., Chen, J., Huang, Y., and Cohen, I. (2009). Pearson correlation coefficient. In Noise reduction in speech processing, pages 1-4. Springer.
- Bootstrap (2015). Bootstrap - getting started. http://get bootstrap.com/getting-started/. Accessed: 2015-04-11.
- Duarte, R., Araújo, D., Davids, K., Travassos, B., Gazimba, V., and Sampaio, J. (2012). Interpersonal coordina- tion tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. Journal of sports sciences, 30(9):871-877.
- Eastlake 3rd, D. and Jones, P. (2001). Us secure hash algorithm 1 (sha1). Technical report.
- Learning. Frencken, W., Poel, H.d., Visscher, C., and Lemmink, K. (2012). Variability of inter-team distances associated with match events in elite-standard soccer. Journal of sports sciences, 30(12):1207-1213.
- Inmotio (2015). Inmotio. http://www.inmotio.eu. Accessed: 2015-06-10.
- McGarry, T., Anderson, D. I., Wallace, S. A., Hughes, M. D., and Franks, I. M. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences, 20(10):771-781.
- SportVU (2015). http://www.sportvu.com/football_coachin g.asp. Accessed: 2015-06-22.
- Technologies, S. (2015). Viper Software - multiple ways to monitor athletes. http://statsports.ie/ technology/viper - software/. Accessed: 2015-06-14.
- Vilar, L., Araújo, D., Davids, K., and Button, C. (2012). The role of ecological dynamics in analysing performance in team sports. Sports Medicine, 42(1):1- 10.
Paper Citation
in Harvard Style
Silva F., Passos P. and Postolache O. (2015). JFA Platform for Football Analysis . In Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: PerSoccer, (icSPORTS 2015) ISBN 978-989-758-159-5, pages 345-351. DOI: 10.5220/0005611103450351
in Bibtex Style
@conference{persoccer15,
author={Fábio Silva and Pedro Passos and Octavian Postolache},
title={JFA Platform for Football Analysis},
booktitle={Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: PerSoccer, (icSPORTS 2015)},
year={2015},
pages={345-351},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005611103450351},
isbn={978-989-758-159-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support - Volume 1: PerSoccer, (icSPORTS 2015)
TI - JFA Platform for Football Analysis
SN - 978-989-758-159-5
AU - Silva F.
AU - Passos P.
AU - Postolache O.
PY - 2015
SP - 345
EP - 351
DO - 10.5220/0005611103450351