The aim of this research was to analyze the Player performance model (PPM) of 7thItalian League using GPS Live 50 Hz (K-Sport, Montelabbate, Italy), in order to evaluate the role of the fatigue during the course of a match, analyzing it by quarters. In total were analyzed 14 matches of one team, 140 data collections (10 for each match). Matches were divided in First Half (T1), Second Half (T2), Full Match, and even by quarters 0-15, 15-30, 30-45, 45-60, 60-75 and 75-90. Only players playing all matches were included into the analyses by quarters, in order to check the performance decreasing during the time. Data were processed with proprietary software (KFitness, K-Sport Universal, Stats Performance, Montelabbate, PU, Italy) and then analyzed using anExcel spreadsheets (Microsoft, USA).Physical data represent a performance indicator but also the qualitative level of players, the evaluations of quarters can indicate us the level of fatigue during the match, giving useful information to coaching staff. For this reason, the use of the match analysis could be decisive to verify the PPM, in order to evaluate the individual fitness status to better individualize training.

THE ROLE OF FATIGUE IN FOOTBALL MATCHES, PERFORMANCE MODEL ANALYSIS AND EVALUATION DURING QUARTERS USING LIVE GLOBAL POSITIONING SYSTEM TECHNOLOGY AT 50HZ

Riccardo Izzo
;
2020-01-01

Abstract

The aim of this research was to analyze the Player performance model (PPM) of 7thItalian League using GPS Live 50 Hz (K-Sport, Montelabbate, Italy), in order to evaluate the role of the fatigue during the course of a match, analyzing it by quarters. In total were analyzed 14 matches of one team, 140 data collections (10 for each match). Matches were divided in First Half (T1), Second Half (T2), Full Match, and even by quarters 0-15, 15-30, 30-45, 45-60, 60-75 and 75-90. Only players playing all matches were included into the analyses by quarters, in order to check the performance decreasing during the time. Data were processed with proprietary software (KFitness, K-Sport Universal, Stats Performance, Montelabbate, PU, Italy) and then analyzed using anExcel spreadsheets (Microsoft, USA).Physical data represent a performance indicator but also the qualitative level of players, the evaluations of quarters can indicate us the level of fatigue during the match, giving useful information to coaching staff. For this reason, the use of the match analysis could be decisive to verify the PPM, in order to evaluate the individual fitness status to better individualize training.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11576/2673100
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