Al Haddad Hani, Méndez-Villanueva Alberto, Torreño Nacho, Munguía-Izquierdo Diego, Suárez-Arrones Luis
Master de Futbol, Pablo de Olavide University, Seville, Spain.
Section of Physical Education and Sports, Department of Sports and Computer Science, Pablo de Olavide University, Seville, Spain.
J Sports Med Phys Fitness. 2018 Oct;58(10):1439-1445. doi: 10.23736/S0022-4707.17.07500-4. Epub 2017 Sep 22.
The aim of this study was to assess the match-to-match variability obtained using GPS devices, collected during official games in professional soccer players.
Global positioning system (GPS)-derived data from nineteen elite soccer players were collected over two consecutive seasons. Time-motion data for players with more than five full-match were analyzed (N.=202). Total distance covered (TD), TD>13-18 km/h, TD>18-21 km/h, TD>21 km/h, number of acceleration >2.5-4 m.s-2 and >4 m.s-2 were calculated. The match-to-match variation in running activity was assessed by the typical error expressed as a coefficient of variation (CV%) and the magnitude of the CV was calculated (effect size).
When all players were pooled together, CVs ranged from 5% to 77% (first half) and from 5% to 90% (second half), for TD and number of acceleration >4 m.s-2, and the magnitude of the CVs were rated from small to moderate (effect size=0.57-0.98). The CVs were likely to increase with running/acceleration intensity, and were likely to differ between playing positions (e.g., TD>13-18 km/h 3.4% for second strikers vs. 14.2% for strikers and 14.9% for wide-defenders vs. 9.7% for wide-midfielders).
Present findings indicate that variability in players' running performance is high in some variables and likely position-dependent. Such variability should be taken into account when using these variables to prescribe and/or monitor training intensity/load.
本研究旨在评估职业足球运动员在正式比赛期间使用GPS设备获得的逐场比赛变异性。
连续两个赛季收集了19名精英足球运动员的全球定位系统(GPS)数据。对比赛场次超过五场的球员的时间-运动数据进行了分析(N = 202)。计算了总跑动距离(TD)、TD>13-18 km/h、TD>18-21 km/h、TD>21 km/h、加速度>2.5-4 m·s-2和>4 m·s-2的次数。通过以变异系数(CV%)表示的典型误差评估跑步活动的逐场比赛变化,并计算CV的大小(效应量)。
当所有球员的数据汇总在一起时,TD和加速度>4 m·s-2次数的CV范围在上半场为5%至77%,下半场为5%至90%,CV的大小评定为小到中等(效应量=0.57-0.98)。CV可能会随着跑步/加速强度的增加而增加,并且可能因比赛位置而异(例如,对于二前锋,TD>13-18 km/h的CV为3.4%,而对于前锋为14.2%;对于边后卫为14.9%,对于边前卫为9.7%)。
目前的研究结果表明,球员跑步表现的某些变量变异性很高,并且可能与位置有关。在使用这些变量来规定和/或监测训练强度/负荷时,应考虑到这种变异性。