The challenge of obtaining data on accelerations and decelerations can be addressed using three main technological approaches: (1) Global Positioning System (GPS), (2) Local Positioning System, and (3) semi-automatic multiple-camera Video Tracking Systems (VTS) 8.
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In this regard, the proposal of this study was to quantify accelerations and decelerations in professional soccer matches using two systems. Understanding the importance of the mechanical load produced by accelerations and decelerations can be fundamental to monitoring activity in soccer. The capacity of the muscles to produce acceleration/decelerations and the orientation of ground reaction forces during accelerations and decelerations may determine the appearance of mechanical fatigue 4, with important implications in soccer performance 5 and injury risks 6, 7. However, assessing soccer performance only with these variables may underestimate a player’s true workload during a soccer match, due to a lack of consideration of the physiological and mechanical data associated with acceleration and deceleration 3.
In recent years, many studies have compared physical demands in professional soccer by analyzing the distances covered by the players at different speeds 1, 2. The quantification of the demands of competition enables us to improve the individual and team specificity of training load. However, caution is required when interpreting the results and a comparison with a gold standard is required in order to validate both systems. Thus, both systems demonstrated an acceptable degree of agreement and could be useful in analyzing players’ acceleration demands in professional soccer. All scores in the smallest worthwhile change were lower than 9% and in the coefficients of variation were lower than 95% and 15%, respectively. The magnitude of change in means (%) between systems, defined as the percentage change between the numbers or values, was below 14% and 7% for number and distances covered, respectively. Also, the Intra class Correlation Coefficients (ICCs) for agreement and consistency between systems showed good and excellent values (> 0.90). The standardized typical errors in the estimate (TEE) were moderate (0.3–0.59) and small to moderate (0.1–0.29 to 0.3–0.59), respectively.
Second, negative relationships were found (i.e., negative bias) comparing WIMU PRO to MEDIACOACH in the number of accelerations and decelerations between 0/1 m/s 2 and ½ m/s 2 ( p 0.19) and small (0.2–0.59) for most variables.
First, the descriptive statistics presented more bursts of accelerations and decelerations in WIMU PRO than in MEDIACOACH, whereas the distances covered recorded by both systems were similar. Data from a Spanish professional club were registered over the course of a season. The aim of this study was to analyze the degree of agreement comparing number and distance covered in different acceleration and deceleration sections registered by a video tracking system (MEDIACOACH) and a GPS device (WIMU PRO) during official competition.
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