a Department of Sport & Exercise Sciences , University of Sunderland , Sunderland SR1 3SD , UK.
J Sports Sci. 2013;31(15):1627-38. doi: 10.1080/02640414.2013.796062. Epub 2013 Jul 1.
The aims of this study were to: (1) quantify match running performance in 5-min periods to determine if players fatigue or modulate high-intensity running according to a pacing strategy, and (2) examine factors impacting high-intensity running such as score line, match importance and the introduction of substitutes. All players were analysed using a computerised tracking system. Maintaining 'high' levels of activity in the first half resulted in a 12% reduction (P < 0.01) in the second half for high-intensity running (effect size [ES]: 0.8), while no changes were observed in 'moderate' and 'low' groups (ES: 0.0-0.2). The 'high' group covered less (P < 0.01) high-intensity running in the initial 10-min of the second versus first half (ES: 0.6-0.7), but this was not observed in 'moderate' and 'low' groups (ES: 0.2-0.4). After the most intense periods, players demonstrated an 8% drop in high-intensity running (P < 0.05) compared to the match average (ES: 0.2) and this persisted for 5-min before recovering. Players covered similar high-intensity running distances in matches with differing score lines but position-specific trends indicated central defenders covered 17% less (P < 0.01) and attackers 15% more high-intensity running during matches that were heavily won versus lost (ES: 0.9). High-intensity running distances were comparable in matches of differing importance, but between-half trends indicated that only declines (P < 0.01) occurred in the second half of critical matches (ES: 0.2). Substitutes covered 15% more (P < 0.01) high-intensity running versus the same time period when completing a full match (ES: 0.5). The data demonstrate that high-intensity running in the second half is impacted by the activity of the first half and is reduced for 5-min after intense periods. High-intensity running is also influenced by score line and substitutions but not match importance. More research is warranted to establish if fluctuations in match running performance are primarily a consequence of fatigue, pacing or tactical and situational influences.
(1) 在 5 分钟时间段内量化比赛跑动表现，以确定运动员是否根据配速策略疲劳或调节高强度跑动，以及 (2) 检查影响高强度跑动的因素，如比分、比赛重要性和替补的引入。所有运动员均使用计算机跟踪系统进行分析。上半场保持“高”水平的活动会导致下半场高强度跑动减少 12%（P<0.01）（效果大小[ES]：0.8），而“中”和“低”组则没有观察到变化（ES：0.0-0.2）。与上半场相比，“高”组在第二场比赛的前 10 分钟内覆盖的高强度跑动较少（P<0.01）（ES：0.6-0.7），但“中”和“低”组则没有观察到（ES：0.2-0.4）。在最激烈的时间段后，与比赛平均水平相比，运动员的高强度跑动下降了 8%（P<0.05）（ES：0.2），并且在恢复之前持续了 5 分钟。尽管比分不同，但球员在比赛中覆盖的高强度跑动距离相似，但特定位置的趋势表明，在大胜和大败的比赛中，中后卫覆盖的高强度跑动减少了 17%（P<0.01）（ES：0.9），而前锋则增加了 15%。重要性不同的比赛中，高强度跑动的距离相当，但上下半场的趋势表明，只有在关键比赛的下半场才会出现下降（P<0.01）（ES：0.2）。与完成一场完整比赛时相比，替补队员覆盖的高强度跑动增加了 15%（P<0.01）（ES：0.5）。数据表明，下半场的高强度跑动受到上半场活动的影响，在剧烈运动后 5 分钟内减少。高强度跑动还受到比分和替补的影响，但不受比赛重要性的影响。需要进一步研究以确定比赛跑动表现的波动是否主要是疲劳、配速或战术和情境影响的结果。
