The Reliability of technical and tactical tagging analysis conducted by a semi-automatic Video-Tracking System (Digital.Stadium®) in soccer

Beato, Marco and Jamil, Mikael and Devereux, Gavin (2017) The Reliability of technical and tactical tagging analysis conducted by a semi-automatic Video-Tracking System (Digital.Stadium®) in soccer. Journal of Human Kinetics. ISSN 1899-7562

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The Video Tracking multiple cameras system (VTS) is a technology that records two-dimensional
position data (x and y) at high sampling rates (over 25 Hz). The VTS is of great interest because it can record
external load variables as well as collect technical and tactical parameters. Performance analysis is mainly
focused on physical demands, yet less attention has been afforded to technical and tactical factors.
Digital.Stadium® VTS is a performance analysis device widely used at national and international levels (i.e.
Italian Serie A, Euro 2016) and the reliability evaluation of its technical tagging analysis (e.g. shots, passes,
assists, set pieces) could be paramount for its application at elite level competitions, as well as in research
studies. Two professional soccer teams, with 30 male players (age 23 ± 5 years, body mass 78.3 ± 6.9 kg, body
height 1.81 ± 0.06 m), were monitored in the 2016 season during a friendly match and data analysis was
performed immediately after the game ended. This process was then replicated a week later (4 operators
conducted the data analysis in each week). This study reports a near perfect relationship between Match and
its Replication. R2 coefficients (relationships between Match and Replication) were highly significant for each
of the technical variables considered (p < 0.001). In particular, a high score of interclass correlation and a
small coefficient of variation were reported. This study reports meaningless differences between Match and
its Replication (intra-day reliability). We concluded that the semi-automatic process behind the
Digital.Stadium® VTS was more than capable of recording technical tagging data accurately.
Keywords: team sports, time-motion analysis, match analysis.

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: 25 Oct 2017 08:47
Last Modified: 28 Nov 2017 11:32

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