locomotor metrics (eg, total and high-speed running distances) were not considered as reflective external measures. Instead, peak running speed (in km·h −1 ) and total PlayerLoad (PL, arbitrary units [AU]) 17 for each set of 7 sprints were extracted for analysis. Ten hertz MinimaxX global positioning
Shaun J. McLaren, Jonathan M. Taylor, Tom W. Macpherson, Iain R. Spears and Matthew Weston
Paul S. Bradley and Jason D. Vescovi
There is no methodological standardization of velocity thresholds for the quantification of distances covered in various locomotor activities for women’s soccer matches, especially for high-speed running and sprinting. Applying velocity thresholds used for motion analysis of men’s soccer has likely created skewed observations about high-intensity movement demands for the women’s game because these thresholds do not accurately reflect the capabilities of elite female players. Subsequently, a cohesive view of the locomotor characteristics of women’s soccer does not yet exist. The aim of this commentary is to provide suggestions for standardizing high-speed running and sprint velocity thresholds specific to women’s soccer. The authors also comment on using generic vs individualized thresholds, as well as age-related considerations, to establish velocity thresholds.
Harry E. Routledge, Jill J. Leckey, Matt J. Lee, Andrew Garnham, Stuart Graham, Darren Burgess, Louise M. Burke, Robert M. Erskine, Graeme L. Close and James P. Morton
.88 1.82 Warm-up duration, min 12 12 Distance, m 1478 1501 High-speed running, m (5.5–6.9 m·s 2 ) 156 159 Sprinting, m (>7 m·s 2 ) 23 31 Match play duration, min 115 98 Number of rotations 2 4 Average speed, m/min 106 114 Total distance, m 12,229 11,182 Walking, m (0.1–1.9 m·s 2 ) 3801 2801 Jogging, m
Juan Del Coso, Javier Portillo, Juan José Salinero, Beatriz Lara, Javier Abian-Vicen and Francisco Areces
The aim of this investigation was to determine the efficacy of a caffeine-containing energy drink to improve physical performance of elite field hockey players during a game. On 2 days separated by a week, 13 elite field hockey players (age and body mass = 23.2 ± 3.9 years and 76.1 ± 6.1 kg) ingested 3 mg of caffeine per kg of body mass in the form of an energy drink or the same drink without caffeine (placebo drink). After 60 min for caffeine absorption, participants played a simulated field hockey game (2 × 25 min). Individual running pace and instantaneous speed during the game were assessed using GPS devices. The total number of accelerations and decelerations was determined by accelerometry. Compared with the placebo drink, the caffeinated energy drink did not modify the total distance covered during the game (6,035 ± 451 m and 6,055 ± 499 m, respectively; p = .87), average heart rate (155 ± 13 beats per min and 158 ± 18 beats per min, respectively; p = .46), or the number of accelerations and decelerations (697 ± 285 and 618 ± 221, respectively; p = .15). However, the caffeinated energy drink reduced the distance covered at moderate-intensity running (793 ± 135 and 712 ± 116, respectively; p = .03) and increased the distance covered at high-intensity running (303 ± 67 m and 358 ± 117 m; p = .05) and sprinting (85 ± 41 m and 117 ± 55 m, respectively; p = .02). Elite field hockey players can benefit from ingesting caffeinated energy drinks because they increase the running distance covered at high-intensity running and sprinting. Increased running distance at high speed might represent a meaningful advantage for field hockey performance.
Mathieu Lacome, Christopher Carling, Jean-Philippe Hager, Gerard Dine and Julien Piscione
Purpose: To examine the effects of an intensified tournament on workload, perceptual and neuromuscular fatigue, and muscle-damage responses in an international under-20 rugby union team. Methods: Players were subdivided into a high-exposure group (HEG, n = 13) and a low-exposure group (LEG, n = 11) according to match-play exposure time. Measures monitored over the 19-d period included training session (n = 10) and match (n = 5) workload determined via global positioning systems and session rating of perceived exertion. Well-being scores, countermovement jump height performance, and blood creatine kinase concentrations were collected at various time points. Results: Analysis of workload cumulated across the tournament entirety for training and match play combined showed that high-speed running distance was similar between groups, while a very likely larger session rating of perceived exertion load was reported in HEG vs LEG. In HEG, high-speed activity fluctuated across the 5 successive matches, albeit with no clear trend for a progressive decrease. No clear tendency for a progressive decrease in well-being scores prior to or following matches was observed in either group. In HEG, trivial to possibly small reductions in postmatch countermovement jump performance were observed, while unclear to most likely moderate increases in prematch blood creatine kinase concentrations occurred until prior to match 4. Conclusions: The magnitude of match-to-match changes in external workload, perceptual and neuromuscular fatigue, and muscle damage was generally unclear or small. These results suggest that irrespective of exposure time to match play players generally maintained performance and readiness to play across the intensified tournament. These findings support the need for holistic systematic player-monitoring programs.
Mitchell Mooney, Stuart Cormack, Brendan O’Brien and Aaron J Coutts
The purpose of this study was to determine if Yo-Yo Intermittent Recovery level 2 (Yo-Yo IR2) and the number of interchange rotations affected the match activity profile of elite Australian footballers.
Fifteen elite Australian footballers completed the Yo-Yo IR2 before the beginning of the season and played across 22 matches in which match activity profiles were measured via microtechnology devices containing a global positioning system (GPS) and accelerometer. An interchange rotation was counted when a player left the field and was replaced with another player. Yo-Yo IR2 results were further split into high and low groups.
Players match speed decreased from 1st to 4th quarter, while average-speed (m/min: P = .05) and low-speed activity (LSA, <15 km/h) per minute (LSA m/min; P = .06) significantly decreased in the 2nd half. Yo-Yo IR2 influenced the amount of m/min, high-speed running (HSR, >15 km/h) per minute (HSR m/min) and accelerometer load/min throughout the entire match. The number of interchanges significantly influenced the HSR m/min and m/min throughout the match except in the 2nd quarter. Furthermore, the low Yo-Yo IR2 group had significantly less LSA m/min in the 4th quarter than the high Yo-Yo IR2 group (92.2 vs 96.7 m/min, P = .06).
Both the Yo-Yo IR2 and number of interchanges contribute to m/min and HSR m/min produced by elite Australian footballers, affecting their match activity. However, while it appears that improved Yo-Yo IR2 performance prevents reductions in LSA m/min during a match, higher-speed activities (HSR m/min) and overall physical activity (m/min and load/min) are still reduced in the 4th quarter compared with the 1st quarter.
Tyler L. Goodale, Tim J. Gabbett, Ming-Chang Tsai, Trent Stellingwerff and Jeremy Sheppard
To evaluate the effects of contextual game factors on activity and physiological profiles of international-level women’s rugby sevens players.
Twenty international-level female rugby sevens players from the same national team participated in this study. Global positioning system and heart-rate data were collected at 5 World Rugby Women’s Sevens Series events (2013–14 season).
Total, moderate-speed (0.2–3.5 m/s), and high-speed running (3.5–5.0 m/s) distances were significantly greater in the first half (20.1% ± 4.1%, 17.6% ± 6.9%, 24.5% ± 7.8%), during losses (11.4% ± 6.1%, 6.1% ± 6.4%, 26.9% ± 9.8%), during losses of large magnitudes (≥2 tries) (12.9% ± 8.8%, 6.8% ± 10.0%, 31.2% ± 14.9%), and against top-4 opponents (12.6% ± 8.7%, 11.3% ± 8.5%, 15.5% ± 13.9%). In addition, total distance increased (5.0% ± 5.5%) significantly from day 1 to day 2 of tournaments, and very-high-speed (5.0–6.5 m/s) running distance increased significantly (26.0% ± 14.2%) during losses. Time spent between 90% and 100% of maximum heart rate (16.4% ± 14.5%) and player load (19.0% ± 5.1%) were significantly greater in the second half. No significant differences in physiological or activity profiles were observed between forwards and backs.
Game half, game outcome, tournament day, opponent rank, and margin of outcome all affected activity profiles, whereas game half affected physiological profiles. No differences in activity or physiological profiles were found between playing positions. Practitioners are advised to develop high-speed running ability in women’s rugby sevens players to prepare them to tolerate the varying factors that affect activity profiles.
Håvard Wiig, Thor Einar Andersen, Live S. Luteberget and Matt Spencer
-analysis comparing single external load variables to sRPE-TL in team sports, total distance covered ( r = .79; 90% confidence interval [CI], .74 to .83) and PlayerLoad ™ ( r = .63; 90% CI, .54 to .70) show the highest correlations, whereas HSRD ( r = .47; 90% CI, .32 to .59) and very high-speed running distance
Gustavo Tomazoli, Joao B. Marques, Abdulaziz Farooq and Joao R. Silva
, Scoresby, Australia). The raw data were then transferred to a personalized Microsoft Excel spreadsheet (Microsoft, Redmond, WA). As described in Table 1 , match running intensity was classified into 4 categories: (1) low-speed running (LSR), (2) moderate-speed running (MSR), (3) high-speed running (HSR
Samuel Ryan, Aaron J. Coutts, Joel Hocking, Patrick A. Dillon, Anthony Whitty and Thomas Kempton
spreadsheet (Microsoft, Redmond, WA) for analysis. This provided single figures to represent the total distance covered and total high-speed running (HSR) distance (distance covered at a customized speed of >20 km·h −1 ) 11 covered by each player for that particular training session, relative to their time