Intra-system reliability of SICS: video-tracking system (Digital.Stadium®) for performance analysis in football.
Beato, Marco and Jamil, Mikael (2017) Intra-system reliability of SICS: video-tracking system (Digital.Stadium®) for performance analysis in football. The Journal of Sports Medicine and Physical Fitness, May 17. ISSN 1827-1928
Intra-system reliability of SICS.pdf - Accepted Version
Download (1MB) | Preview
Abstract
BACKGROUND:
The correct evaluation of external load parameters is a key factor in professional football. The instrumentations usually utilised to quantify the external load parameters during official matches are Video-Tracking Systems (VTS). VTS is a technology that records two- dimensional position data (x and y) at high sampling rates (over 25 Hz). The aim of this study was to evaluate the intra-system reliability of Digital.Stadium® VTS.
METHODS:
28 professional male football players taking part in the Italian Serie A (age 24 ± 6 years, body mass 79.5 ± 7.8 kg, stature 1.83 ± 0.05 m) during the 2015/16 season were enrolled in this study (Team A and Team B). Video-analysis was done during an official match and data analysis was performed immediately after the game ended and then replicated a week later.
RESULTS:
This study reported a near perfect relationship between the initial analysis (analysis 1) and the replicated analysis undertaken a week later (analysis 2). R2 coefficients were highly significant for each of the performance parameters, p < 0.001. This study reported a mean TD = 8095 ± 3271 and 8073 ± 3263 m in analysis 1 and analysis 2, respectively. Players reported a mean distance covered over 25 w kg-1 equivalent to 1304 ± 673 m and 1294 ± 672 m, and they reported a mean metabolic power of 9.65 ± 1.64 w kg-1 and 9.58 ± 1.61 w kg-1, in analysis 1 and analysis 2, respectively.
CONCLUSIONS:
The findings reported in this study underlined that all data reported by Digital.Stadium® VTS showed high levels of absolute and relative reliability.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Team sports, Time motion analysis, Match analysis |
Subjects: | Q Science > QP Physiology |
Divisions: | Faculty of Health & Science > Department of Science & Technology |
Depositing User: | Marco Beato |
Date Deposited: | 18 May 2017 09:52 |
Last Modified: | 30 May 2018 10:53 |
URI: | https://oars.uos.ac.uk/id/eprint/210 |