Literature DB >> 28488823

Intra-system reliability of SICS: video-tracking system (Digital.Stadium®) for performance analysis in soccer.

Marco Beato1, Mikael Jamil2.   

Abstract

BACKGROUND: The correct evaluation of external load parameters is a key factor in professional soccer. 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: Twenty-eight professional male soccer 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.

Mesh:

Year:  2017        PMID: 28488823     DOI: 10.23736/S0022-4707.17.07267-X

Source DB:  PubMed          Journal:  J Sports Med Phys Fitness        ISSN: 0022-4707            Impact factor:   1.637


  6 in total

1.  Peripheral muscle function during repeated changes of direction in professional soccer players.

Authors:  Ermanno Rampinini; Marco Martin; Ferioli Davide; Andrea Bosio; Matteo Azzolini; Marco Riggio; Nicola A Maffiuletti
Journal:  Eur J Appl Physiol       Date:  2022-06-29       Impact factor: 3.346

2.  The Reliability of Technical and Tactical Tagging Analysis Conducted by a Semi-Automatic VTS in Soccer.

Authors:  Marco Beato; Mikael Jamil; Gavin Devereux
Journal:  J Hum Kinet       Date:  2018-06-13       Impact factor: 2.193

3.  Performance Activities and Match Outcomes of Professional Soccer Teams during the 2016/2017 Serie A Season.

Authors:  Umile Giuseppe Longo; Francesco Sofi; Vincenzo Candela; Monica Dinu; Matteo Cimmino; Carlo Massaroni; Emiliano Schena; Vincenzo Denaro
Journal:  Medicina (Kaunas)       Date:  2019-08-12       Impact factor: 2.430

4.  The influence of athletic performance on the highest positions of the final ranking during 2017/2018 Serie A season.

Authors:  Umile Giuseppe Longo; Francesco Sofi; Vincenzo Candela; Laura Risi Ambrogioni; Giuditta Pagliai; Carlo Massaroni; Emiliano Schena; Matteo Cimmino; Fabrizio D'Ancona; Vincenzo Denaro
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-03-25

5.  Using multiple machine learning algorithms to classify elite and sub-elite goalkeepers in professional men's football.

Authors:  Mikael Jamil; Ashwin Phatak; Saumya Mehta; Marco Beato; Daniel Memmert; Mark Connor
Journal:  Sci Rep       Date:  2021-11-22       Impact factor: 4.379

6.  The Validity and Between-Unit Variability of GNSS Units (STATSports Apex 10 and 18 Hz) for Measuring Distance and Peak Speed in Team Sports.

Authors:  Marco Beato; Giuseppe Coratella; Adam Stiff; Antonio Dello Iacono
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

  6 in total

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