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      Understanding Player Load: Meanings and Limitations

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          Abstract

          We present a critical reflection on the mechanical variable Player Load, which is based on acceleration data and commonly used in sports. Our motivation to write this paper came from the difficulties that we encountered in the calculation and interpretation of Player Load using our own data, since we did not use the Catapult Sports equipment, which is a merchandise of the company that proposed this variable. We reviewed existing literature in order to understand Player Load better; we found many inconsistencies in PL calculation methods and in the meanings attached to it. Accordingly, this paper presents a brief discussion on the meanings that have been assigned to Player Load, its limitations, and the lack of clear and complete information about Player Load calculation methods. Moreover, the use of arbitrary units and different practical meanings in the literature has associated Player Load with many physical quantities, thereby resulting in difficulties in determining what Player Load measures within the context of sports. It seems that Player Load is related to the magnitude of changes in acceleration, but not the magnitude of acceleration itself. Therefore, coaches and sports scientists should take this information into account when they use Player Load to prescribe and monitor external loads. We concluded that a deeper discussion of Player Load as a descriptor of external load is warranted in the sports sciences literature.

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          Most cited references20

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          The reliability of MinimaxX accelerometers for measuring physical activity in Australian football.

          To assess the reliability of triaxial accelerometers as a measure of physical activity in team sports. Eight accelerometers (MinimaxX 2.0, Catapult, Australia) were attached to a hydraulic universal testing machine (Instron 8501) and oscillated over two protocols (0.5 g and 3.0 g) to assess within- and between device reliability. A static assessment was also conducted. Secondly, 10 players were instrumented with two accelerometers during Australian football matches. The vector magnitude was calculated, expressed as Player load and assessed for reliability using typical error (TE) ± 90% confidence intervals (CI), and expressed as a coefficient of variation (CV%). The smallest worthwhile difference (SWD) in Player load was calculated to determine if the device was capable of detecting differences in physical activity. Laboratory: Within- (Dynamic: CV 0.91 to 1.05%; Static: CV 1.01%) and between-device (Dynamic: CV 1.02 to 1.04%; Static: CV 1.10%) reliability was acceptable across each test. Field: The between-device reliability of accelerometers during Australian football matches was also acceptable (CV 1.9%). The SWD was 5.88%. The reliability of the MinimaxX accelerometer is acceptable both within and between devices under controlled laboratory conditions, and between devices during field testing. MinimaxX accelerometers can be confidently utilized as a reliable tool to measure physical activity in team sports across multiple players and repeated bouts of activity. The noise (CV%) of Player load was lower than the signal (SWD), suggesting that accelerometers can detect changes or differences in physical activity during Australian football.
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            Relationship between indicators of training load in soccer players.

            This study examined the relationship between work load indicators used to quantify full training sessions in soccer. The participants were 28 semiprofessional male soccer players age 22.9 ± 4.2 years, height 177 ± 5 cm, body mass 73.6 ± 4.4 kg. Players' physical and physiological work load was monitored over 44 training sessions using global positioning system devices (10 Hz) and heart rate, respectively. After each training session, players' training perceived-exertion (rating of perceived exertion [RPE]) was assessed using the Borg CR-10 scale. Players' internal training load was assessed using the session-RPE and the Edwards methods. Total distance, distances covered at arbitrary selected high-intensity speed zones (≥18 and 21 km·h(-1)), bout frequency at speed >18 and 21 km·h(-1), and work:rest ratio during training drills were considered as signs of physical work load. Furthermore, player load assumed as reflection of total center-of-mass acceleration was considered as representative of players' external load. Very-large association of player load with Edwards and session-RPE methods was found. Total distance covered was large to very large associated with Player Load, Session-RPE, and Edwards methods. The findings of this study provided evidence for the safe use of session-RPE, Edwards methods, and Players Load as valid indicators of training responses in soccer.
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              The physical and physiological demands of basketball training and competition.

              To characterize the physical and physiological responses during different basketball practice drills and games. Male basketball players (n=11; 19.1+/-2.1 y, 1.91+/-0.09 m, 87.9+/-15.1 kg; mean+/-SD) completed offensive and defensive practice drills, half court 5on5 scrimmage play, and competitive games. Heart rate, VO2, and triaxial accelerometer data (physical demand) were normalized for individual participation time. Data were log-transformed and differences between drills and games standardized for interpretation of magnitudes and reported with the effect size (ES) statistic. There was no substantial difference in the physical or physiological variables between offensive and defensive drills; physical load (9.5%; 90% confidence limits+/-45); mean heart rate (-2.4%; +/-4.2); peak heart rate (-0.9%; +/-3.4); and VO2 (-5.7%; +/-9.1). Physical load was moderately greater in game play compared with a 5on5 scrimmage (85.2%; +/-40.5); with a higher mean heart rate (12.4%; +/-5.4). The oxygen demand for live play was substantially larger than 5on5 (30.6%; +/-15.6). Defensive and offensive drills during basketball practice have similar physiological responses and physical demand. Live play is substantially more demanding than a 5on5 scrimmage in both physical and physiological attributes. Accelerometers and predicted oxygen cost from heart rate monitoring systems are useful for differentiating the practice and competition demands of basketball.
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                Author and article information

                Journal
                J Hum Kinet
                J Hum Kinet
                hukin
                hukin
                Journal of Human Kinetics
                Sciendo
                1640-5544
                1899-7562
                31 January 2020
                January 2020
                : 71
                : 5-9
                Affiliations
                [1 ]Laboratory of Biomechanics - Department of Sports, Universidade Federal de Minas Gerais (Federal University of Minas Gerais) , Belo Horizonte, Brazil
                Author notes
                [* ] André Gustavo Pereira Andrade, Laboratory of Biomechanics – Physical Education, Physiotherapy, and Occupational Therapy School, Federal University of Minas Gerais. Address: Avenida Antônio Carlos, 6627 – Pampulha, Belo Horizonte, MG - Brasil. Zip code: 31 270 901. ; Phone: +55 (31) 3409 2329 andreguto@ 123456yahoo.com.br
                Article
                hukin-2019-0072
                10.2478/hukin-2019-0072
                7052708
                32148568
                db411247-8ddd-415f-b274-5a31ca33f027
                © 2020 Sarah da Glória Teles Bredt, Mauro Heleno Chagas, Gustavo Henrique Peixoto, Hans Joachim Menzel, André Gustavo Pereira de Andrade, published by Sciendo

                This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

                History
                Page count
                Pages: 5
                Categories
                Short Communication

                acceleration,external training load,mechanical variables

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