Lord Cameron, Blazevich Anthony J, Abbiss Chris R, Ma'ayah Fadi
Edith Cowan University, Centre for Exercise and Sports Science Research (CESSR), School of Medical and Health Sciences, Joondalup, Australia.
Curtin University, School of Education, Bentley, Australia.
J Hum Kinet. 2020 Jul 21;73:93-102. doi: 10.2478/hukin-2019-0135. eCollection 2020 Jul.
The reliability and validity of maximal mean speed (MMS), maximal mean metabolic power (MMPmet), critical speed (CS) and critical metabolic power (CPmet) were examined throughout the 2016-2017 soccer National Youth League competitions. Global positioning system (GPS) data were collected from 20 sub-elite soccer players during a battery of maximal running tests and four home matches. A symmetric moving average algorithm was applied to the instantaneous velocity data using specific time windows (1, 5, 10, 60, 300 and 600 s) and peak values were identified. Additionally, CS and CP¬met values calculated from match data were compared to CS and CPmet values determined from previously validated field tests to assess the validity of match values. Intra-class correlation (one-way random absolute agreement) scores ranged from 0.577 to 0.902 for speed, and from 0.701 to 0.863 for metabolic power values. Coefficients of variation (CV) ranged from good to moderate for speed (4-6%) and metabolic power (4-8%). Only CS and CPmet values were significantly correlated (r = 0.842; 0.700) and not statistically different (p = 0.066; 0.271) to values obtained in a shuttle-running critical test. While the present findings identified match-derived MMS, MMPmet, CS and CPmet to be reliable, only CS and CPmet derived from match play were validated to a CS field test that required changes in speed and direction rather than continuous running. This suggests that both maximal mean and critical speed and metabolic power analyses could be alternatives to absolute distance and speed in the assessment of match running performance during competitive matches.
在2016 - 2017年足球全国青年联赛期间,对最大平均速度(MMS)、最大平均代谢功率(MMPmet)、临界速度(CS)和临界代谢功率(CPmet)的可靠性和有效性进行了检验。在一系列最大跑步测试和四场主场比赛期间,从20名次精英足球运动员收集了全球定位系统(GPS)数据。使用特定时间窗口(1、5、10、60、300和600秒)将对称移动平均算法应用于瞬时速度数据,并确定峰值。此外,将根据比赛数据计算的CS和CP¬met值与先前经过验证的现场测试确定的CS和CPmet值进行比较,以评估比赛值的有效性。速度的组内相关(单向随机绝对一致性)得分范围为0.577至0.902,代谢功率值的得分范围为0.701至0.863。速度(4 - 6%)和代谢功率(4 - 8%)的变异系数(CV)范围从良好到中等。只有CS和CPmet值与穿梭跑临界测试中获得的值显著相关(r = 0.842;0.700)且无统计学差异(p = 0.066;0.271)。虽然目前的研究结果表明从比赛中得出的MMS、MMPmet、CS和CPmet是可靠的,但只有从比赛中得出的CS和CPmet在需要速度和方向变化而非持续跑步的CS现场测试中得到了验证。这表明,在评估比赛中的跑步表现时,最大平均速度、临界速度和代谢功率分析都可以替代绝对距离和速度。