Abstract: The aim of this research was to analyze the PPM of Armenian Premier League using 25 GPS 10 Hz (K-Sport, Montelabbate, Italy), in order to compare data from literature from major European championship. In total 25 matches were analyzed from one team militant in Armenian Premier League (10 wins, 10 loses and 5 draws), 33 different players (age 24.3 ± 4.2, height 1.76 ± 4.2 and weight 74 ± 3.5) and in total 270 performances (10.8 for matches). Matches were divided in First Half (T1), Second Half (T2), Second Half Substitution (T2 Sub), Full Match, Full Match Substitution (Full Match Sub) and Total Match (Total) that include all the players detected during a games. Furthermore, all matches were divided even by quarters 0-15, 15-30, 30-45, 45-60, 60-75 and 75-90, only players that played all match were included in this analyses, in order to check the performance decreasing during the time. All data were added in an Excel Spreadsheet in order to build a database, to organize and better analyze data, cataloging events for data, results, and role of players. Average data from Armenian Premier League in comparison with literature data from European and Italian Championship show that in every parameter, the Armenian Premier League is under the average. This is obviously related to the non-high level of the Armenian football that is in fact placed at the 106° place of the FIFA ranking (update 7 June 2019). Physical data represent an indicator of performance but also of the qualitative level of the league and of individual players. For this reason, the use of the match analysis can be decisive to verify the PPM, in order to better evaluate the championships, teams, and players, in order to build an easier search and discovery of talents.

Performance Model Analysis of Armenian Premier League Soccer Players Using Global Positioning System Technology and Comparison between European Championship

Riccardo Izzo
;
Ciro Hosseini Varde’i;
2019-01-01

Abstract

Abstract: The aim of this research was to analyze the PPM of Armenian Premier League using 25 GPS 10 Hz (K-Sport, Montelabbate, Italy), in order to compare data from literature from major European championship. In total 25 matches were analyzed from one team militant in Armenian Premier League (10 wins, 10 loses and 5 draws), 33 different players (age 24.3 ± 4.2, height 1.76 ± 4.2 and weight 74 ± 3.5) and in total 270 performances (10.8 for matches). Matches were divided in First Half (T1), Second Half (T2), Second Half Substitution (T2 Sub), Full Match, Full Match Substitution (Full Match Sub) and Total Match (Total) that include all the players detected during a games. Furthermore, all matches were divided even by quarters 0-15, 15-30, 30-45, 45-60, 60-75 and 75-90, only players that played all match were included in this analyses, in order to check the performance decreasing during the time. All data were added in an Excel Spreadsheet in order to build a database, to organize and better analyze data, cataloging events for data, results, and role of players. Average data from Armenian Premier League in comparison with literature data from European and Italian Championship show that in every parameter, the Armenian Premier League is under the average. This is obviously related to the non-high level of the Armenian football that is in fact placed at the 106° place of the FIFA ranking (update 7 June 2019). Physical data represent an indicator of performance but also of the qualitative level of the league and of individual players. For this reason, the use of the match analysis can be decisive to verify the PPM, in order to better evaluate the championships, teams, and players, in order to build an easier search and discovery of talents.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11576/2670574
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