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Alexandra M. Coates, Jordan A. Berard, Trevor J. King, and Jamie F. Burr

Predicting ultramarathon running performance is a unique challenge, as ultramarathon races can vary greatly in distance, duration, and physiological demand. Ultramarathon running races range from any race exceeding the marathon distance (>42.2 km) to multiday events and commonly include diverse

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Simon J. de Waal, Josu Gomez-Ezeiza, Rachel E. Venter, and Robert P. Lamberts

field tests, including various maximal and submaximal aerobic tests, 4 have been used to identify and analyze road running performance parameters. Recently, having considered the differences between road and trail running, Ehrström et al 1 have questioned whether it is appropriate to apply the

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Wassim Moalla, Mohamed Saifeddin Fessi, Sabeur Nouira, Alberto Mendez-Villanueva, Valter Di Salvo, and Said Ahmaidi

the mesocycle duration and tapering strategies on the physical performance of professional soccer teams has not yet been investigated, and to the best of our knowledge, no study has been published on how mesocycles’ duration might impact match running performance. The present study aimed to

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Hiromasa Ueno, Tadashi Suga, Kenji Takao, Masafumi Terada, Akinori Nagano, and Tadao Isaka

Generally, the body mass of endurance runners is lower than that of other track-and-field event athletes to perform economical running. 1 – 3 Nevertheless, the lower body mass of endurance runners may not be an important contributing factor to their better running performance. 1 , 4 – 7 In

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Peter J. Whalley, Chey G. Dearing, and Carl D. Paton

average chance of effectiveness was 97% for all treatments combined. Table 1 Comparison of 5-km Running Performance, Time Heart Rate, and Perceived Exertion, Mean (SD) Treatment 5-Km time, min:s Heart rate, bpm Rate of perceived exertion Familiarization (F) 20:46 (3:12) 163 (13) 16.6 (0.8) Placebo (P) 20

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Georgia M. Black, Tim J. Gabbett, Richard D. Johnston, Geraldine Naughton, Michael H. Cole, and Brian Dawson

the inevitable decline in running performance across AF matches, the effectiveness of on-field playing time per rotation has recently been investigated. 2 Specifically, following 5 minutes, relative distances declined and continued in this pattern until the 9-minute mark of a playing period. 2

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Andrew J. Carnes and Sara E. Mahoney

The improvement of distance-running performance has inspired decades of scientific research and debate. Current data support the concept of “polarized endurance training” (POL), characterized by a high volume of continuous, low-intensity training interspersed with a small amount at much higher

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Jonne A. Kapteijns, Kevin Caen, Maarten Lievens, Jan G. Bourgois, and Jan Boone

 × 15-minute game, especially with regard to the differences among the positions on the field. Given these differences in match running performance between the positions, differences in performance profiles, determined from a test battery, also would have been expected among the positions. However, this

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James Parr, Keith Winwood, Emma Hodson-Tole, Frederik J.A. Deconinck, James P. Hill, and Sean P. Cumming

-established effect on youth soccer match running performance, 10 an effect that surpasses other factors, such as chronological age 10 and physical fitness. 26 Therefore, the influence of position was analyzed within the current study to help interpret the effect of maturity on match-running metrics. The present

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Volker Scheer, Tanja I. Janssen, Solveig Vieluf, and Hans-Christian Heitkamp

and exercise testing strategies to predict performance and improve training concepts and competition results. Values that are classically used to predict running performance include maximal oxygen uptake (VO 2 max), percentage of VO 2 max, ventilatory and lactate thresholds, and running economy. 1