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Thomas Mullen, Craig Twist, and Jamie Highton

high-speed running (>14 km·h −1 ), peak speed, sprint to contact speed, PlayerLoad ™ (in arbitrary units), and time at high metabolic power >20 W·kg −1 (in seconds). In a separate in-house investigation, using a sample of 20 university rugby players, the interday coefficient of variation (in

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Simon A. Feros, Warren B. Young, and Brendan J. O’Brien

the relative ball speed and relative peak Player-Load™ to exhibit the most stability, with bowling accuracy (execution) displaying the largest variance. Nevertheless, only Feros et al 14 reported the SEM and/or coefficient of variation for consistency of bowling speed and bivariate variable error

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Dale B. Read, Ben Jones, Sean Williams, Padraic J. Phibbs, Josh D. Darrall-Jones, Greg A.B. Roe, Jonathon J.S. Weakley, Andrew Rock, and Kevin Till

of match-play. PlayerLoad ™ per minute (PL·min −1 ) (in AU·min −1 ) was downloaded to quantify the additional external load such as accelerations that rugby players experience. PL is a vector magnitude and sums the frequency and magnitude of accelerations in the 3 axial planes. 20 A very large ( r

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Pedro L. Valenzuela, Guillermo Sánchez-Martínez, Elaia Torrontegi, Javier Vázquez-Carrión, Manuela González, Zigor Montalvo, and Grégoire P. Millet

of body movement using the following formula 26 : Player load = √ { [ ( aca t = i + 1 − aca t = 1 ) 2 + ( act t = i + 1 − act t = 1 ) 2 + ( acv t = i + 1 − acv t = 1 ) 2 ] / 100 } where aca is the acceleration in the anteroposterior or horizontal axis, act is the acceleration in the transverse or

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Cristiano D. da Silva and Ric Lovell

; coefficient of variance = 3.8%) observed in external load quantified via the vector magnitude of accelerometry (Playerload™, MinimaxX S4; Catapult Sports, Melbourne, Australia). 2 However, the consistencies (reliability) in physiological responses to the protocol have not yet been examined. The simulation

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Tim Op De Beéck, Arne Jaspers, Michel S. Brink, Wouter G.P. Frencken, Filip Staes, Jesse J. Davis, and Werner F. Helsen

indicators were training and match duration, total distance covered, PlayerLoad, distance covered at high speed (>20 km·h −1 ), and the number of acceleration efforts greater than 1 m·s −2 and deceleration efforts less than −1 m·s −2 . The IL was obtained for all players after the training sessions and

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Franco M. Impellizzeri, Matthew S. Tenan, Tom Kempton, Andrew Novak, and Aaron J. Coutts

 al 40 reported a likely higher (> 75% using the magnitude-based inference) injury rate at ACWR > 1.9 only (PlayerLoad in a rugby league). Finally, a study by Lathlean et al 41 very recently showed an inverted U-shape between ACWR and injury (ie, the more you increase or decrease the acute load, the

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Simon A. Feros, Damon A. Bednarski, and Peter J. Kremer

has a very large relationship with actual measures of delivery intensity, being ball release speed and peak PlayerLoad ™ 10 ; however, the relationship with perceived delivery intensity (perDI) is not known. This is a problem, because if there is a poor relationship between prescribed and perceived

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Simon A. Feros, Warren B. Young, and Brendan J. O’Brien

magnitudes for effect statistics . Sportscience . 2002 . http://www.sportsci.org/resource/stats/effectmag.html . Accessed April 21, 2017. 16. McNamara DJ , Gabbett TJ , Chapman P , Naughton G , Farhart P . Variability of PlayerLoad, bowling velocity, and performance execution in fast

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Blake D. McLean, Cloe Cummins, Greta Conlan, Grant Duthie, and Aaron J. Coutts

MinimaxX accelerometers for measuring physical activity in Australian football . Int J Sports Physiol Perform . 2011 ; 6 ( 3 ): 311 – 321 . PubMed ID: 21911857 doi:10.1123/ijspp.6.3.311 21911857 10.1123/ijspp.6.3.311 3. Barrett S , Midgley A , Lovell R . PlayerLoad™: reliability, convergent