A Comparative Analysis of Accelerometer and Time–Motion Data in Elite Men’s Hockey Training and Competition

Polglaze, Ted; Dawson, Brian; Hiscock, Daniel J.; Peeling, Peter

doi:10.1123/ijspp.2014-0233

Cited by 51 publications

(51 citation statements)

References 11 publications

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“…PlayerLoad TM has previously been shown to be highly positively correlated with the volume of locomotion performed in team sports (Polglaze, Dawson, Hiscock, & Peeling 2015;Scott, Lockie, Knight, Clark, & Janse De Jonge 2013). As such, examination of the absolute PL response would inherently reflect the typical in match total distance response typically shown to reduce within and across halves (Barrett et al, 2016a;Mohr et al 2003;Rampinini et al, 2009;Weston et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

The influence of short-term fixture congestion on position specific match running performance and external loading patterns in English professional soccer

Jones

Greig

Mawéné

et al. 2018

Journal of Sports Sciences

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The aim of the current study was to investigate positional specific physical performance and external load responses to short term fixture congestion in English professional soccer. A total of 515 match observations were categorised as G1: the first game in a week with >4 days following a previous game, G2: the second game in a week played <4 days since G1, and G3: the third game in a week played with <4 days between each of the previous games. Global positioning system and accelerometer-based metrics were partitioned into fifteen-minute epochs. These data were then analysed using a linear mixed model to assess both the within and between game positional differences. Total, low-intensity (<4.0m•s-1), medium-intensity (MID; 4.0-5.5m•s-1), and sprint distance (>7.0m•s-1) were significantly different across games. No between game positional differences were identified; however, within match position specific differences were observed for measures of MID and HID. No significant differences were evident for accelerometer derived metrics between games or across positions. The current data suggests that the use of fifteen minute within game epochs enables the detection of alterations in physical output during congested schedules. The observed within game positional differences has implications for player specific conditioning and squad rotation strategies. activity profiles of soccer players over a three-match training micro cycle.

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Section: Discussionmentioning

confidence: 99%

The influence of short-term fixture congestion on position specific match running performance and external loading patterns in English professional soccer

Jones

Greig

Mawéné

et al. 2018

Journal of Sports Sciences

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“…Instead, measuring the accelerations based on Newton's second law (with a certain mass, accelerations are proportional to the external forces acting on the body) is more feasible. The availability of low-cost inertial sensors has led to the integration of accelerometers in commercially available GPS units, and this in turn has led to an expansion of the literature towards evaluating reliability of accelerometry-based variables (20)(21)(22)(23) and their utility to assess training load in various situations (24)(25)(26)(27) and sporting populations (23,24,(28)(29)(30).…”

Section: Monitoring External Loadmentioning

confidence: 99%

“…Scientists have attempted to relate this to the physiological load (external or internal measures), similar to what is commonly done in physical activity monitoring (as reviewed in (40,41)). For example, one study demonstrated moderate to high relationships between PlayerLoad TM and distance covered (29,42), while other studies have demonstrated a moderate to high relationship between PlayerLoad TM and ratings of perceived exertion (RPE) (42)(43)(44) and trivial to moderate relationship between PlayerLoad TM and ̇2 or heart rate data, respectively (20,42,45). These relationships between measures of physiological and biomechanical loads lack a solid foundation, except for the fact that in running-based team sports the variations in both types of loads are generally experienced together.…”

Section: Monitoring External Loadmentioning

confidence: 99%

Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways

et al. 2017

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There have been considerable advances in monitoring training load in running-based team sports in recent years. Novel technologies nowadays offer ample opportunities to continuously monitor the activities of a player. These activities lead to internal biochemical stresses on the various physiological subsystems; however, they also cause internal mechanical stresses on the various musculoskeletal tissues. Based on the amount and periodization of these stresses, the subsystems and tissues adapt. Therefore, by monitoring external loads, one hopes to estimate internal loads to predict adaptation, through understanding the load-adaptation pathways. We propose a new theoretical framework in which physiological and biomechanical load-adaptation pathways are considered separately, shedding new light on some of the previously published evidence. We hope that it can help the various practitioners in this field (trainers, coaches, medical staff, sport scientists) to align their thoughts when considering the value of monitoring load, and that it can help researchers design experiments that can better rationalize training-load monitoring for improving performance while preventing injury.

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“…Por otro lado, a nivel colectivo, una mayor alternancia en la posesión del balón en jugadores sub13 menos expertos (Folgado, Lemmink, Frencken, & Sampaio, 2014) podría ser la causa de que los jugadores se vieran obligados a alternar continuamente las labores ofensivas y defensivas, provocando un mayor número de cambios de dirección, una mayor carrera no lineal o un juego más desordenado (Sampaio & Maçãs, 2012), lo que podría favorecer un aumento de aceleraciones, desaceleraciones y cambio de dirección. Recientemente se ha comenzado a proponer ratios entre la distancia total de carrera y el PL como métrica para valorar la eficiencia de la carrera o tipología de la tarea (Polglaze, Dawson, Hiscock, & Peeling, 2015), por poner algunos ejemplos. Sería conveniente realizar más investigación al respecto para conocer los motivos de por qué supone la misma tarea una mayor carga respecto al indicador global de aceleración, sabiendo que el Player Load es un indicador 'personal'.…”

Section: Discussionunclassified

Comparison of the physical demands in sub13 and sub14 football players on a 7-a-side game played with different lengths

Castellano¹,

Echeazarra²,

Estéfano³

2017

CCD

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Comparación de las demandas físicas en jugadores de fútbol sub13 y sub14 en un 7:7 disputado en diferentes dimensiones ResumenEl objetivo del estudio fue analizar la influencia de un juego reducido (JR) con cuatro larguras diferentes en las demandas físicas en 28 jugadores infantiles de fútbol, divididos en grupos de edad sub13 y sub14. Se jugó un 7 contra 7 (incluido portero) en los siguientes formatos de JR: 60x40m (JR60), 50x40m (JR50), 40x40m (JR40) y 30x40m (JR30), largo por ancho respectivamente. Las variables fueron analizadas a partir de dispositivos GPS: distancia total (DT) y distancia recorrida en rangos absolutos (D0-7, D7-14, D14-17, D17-21 y D>21, todo en Km·h -1 ) y relativos (D<40%, D40-60% [D<60%] y D>60% de la velocidad máxima individual) de velocidad, ratio trabajo:descanso (W:R), Player Load en tres (PL) y dos (PL2D) planos de movimiento, Exertion Index (EI), Velocidad máxima (V max ) y Metabolic Power (MP). Los resultados fueron: un aumento de las dimensiones incrementó las demandas físicas en todas las variables excepto en D<7 y D<40%, en sub13 y sub14, aunque no se dio la misma proporción. Sub14 presentó valores superiores a sub13 en las variables DT, EI, MP, V max , D17-21 y D>21, lo que parece indicar que este grupo de edad mostró una mayor respuesta condicional cuando las dimensiones del campo así lo permitieron. Por el contrario, en valores relativos (D<60% y D>60%) los sub13 mostraron mayor carga que sub14. La principal aplicación del estudio permitiría conocer las dimensiones que son adecuadas para cada categoría de edad, para que no supongan estas una limitación desde el punto de vista condicional.Palabras clave: Deporte colectivo, juego reducido, análisis del movimiento, formación. AbstractThe aim of the present study was to analyze the influence of one small-sided game (SSG) with four different pitch lengths on the physical demands in young soccer players, within theU13 and U14 age groups. One 7-a-side game (goalkeeper included) was played in the following SSG formats: 60x40m (SSG60), 50x40m (SSG50), 40x40m (SSG40) and 30x40m (SSG30), length times width respectively. Using GPS devices, the variables analyzed were: total distance (TD) and distance covered in absolute ranges (D0-7, D7-14, D14-17, D17-21 and D>21, all in Km·h -1 ) and relatives (D<40%, D40-60% [D<60%] and D>60% of the individual maximal speed) of velocity, work:rest ratio (W:R); player-load in three (PL) or two (PL2D) planes of movement, Exertion Index (EI), Maximal Velocity (V max ) and metabolic Power (MP). The results were: when pitch dimensions increase higher values in all variables were found except D<7 and D>40%, in U13 and U14, although it was not the same proportion. U14 had higher values than U13 in the variables DT, EI, MP, V max , D17-21 and D>21, suggesting that this age group showed a higher conditional response when field dimensions allow it. To the contrary, in relative values (D<60% and D>60%) the U13 showed higher load scores than U14. The main application of this study would be to know which dime...

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A Comparative Analysis of Accelerometer and Time–Motion Data in Elite Men’s Hockey Training and Competition

Cited by 51 publications

References 11 publications

The influence of short-term fixture congestion on position specific match running performance and external loading patterns in English professional soccer

The influence of short-term fixture congestion on position specific match running performance and external loading patterns in English professional soccer

Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways

Comparison of the physical demands in sub13 and sub14 football players on a 7-a-side game played with different lengths

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