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Callum J. McCaskie, Warren B. Young, Brendan B. Fahrner and Marc Sim

was believed that the influence of preseason training on in-season performance would diminish as the season progressed. Round 1 selection was also used as a performance indicator. Table 1 Preseason Training Variables Analyzed Preseason training variable Description External-load-monitoring variables

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Fergus O’Connor, Heidi R. Thornton, Dean Ritchie, Jay Anderson, Lindsay Bull, Alex Rigby, Zane Leonard, Steven Stern and Jonathan D. Bartlett

to Very High) for a Range of Absolute and Relative Running Load Monitoring Parameters Across a 4-Week Period Load thresholds PPV, % IRR (95% CI) Absolute risk AUC (95% CI) Total distance covered  Very low (<50 km) 2.05 1.59 (0.86–2.94) 0.05% 0.555 (0.488–0.622)  Low (50–65 km) 1.36 1.06 (0

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Craig A. Williams

. Making evidence-based decisions is emphasized, while the appropriate monitoring techniques are determined by both the sporting context and individual situation. Ultimately, a systematic approach to training-load monitoring is recommended for adolescent athletes to both maximize their athletic development

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Miranda J. Menaspà, Paolo Menaspà, Sally A. Clark and Maurizio Fanchini

The session rating of perceived exertion (s-RPE) 1 has been validated in individual and team sports 2 – 4 and has been used in training load monitoring 5 and injury prevention. 6 , 7 Different perceptual scales have been proposed, validated, and used in several sports to measure exercise

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Pedro Figueiredo, George P. Nassis and João Brito

explored as an additional tool. Practical Applications The sIgA could be used as an additional objective tool in the workload quantification and training load monitoring. 9 Although sIgA concentration in the present study did not fall to any great extent, sIgA could be used to identify players at risk of

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Kristof Kipp, John Krzyszkowski and Daniel Kant-Hull

performance outcomes. 6 , 7 Traditionally, work in the field of load monitoring has used a systems-model approach, which aims to facilitate our understanding of how information about the training process can be used to predict an athlete’s readiness and potential for performance. 6 , 7 More recently

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Lindsay T. Starling and Michael I. Lambert

load of the players. The most popular methods respondents used to monitor the training load were those that are relatively easy to record and do not require expensive equipment. In contrast, a large portion of professional teams incorporated microtechnologies in their training load monitoring. A study

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Henrikas Paulauskas, Rasa Kreivyte, Aaron T. Scanlan, Alexandre Moreira, Laimonas Siupsinskas and Daniele Conte

endurance training . Int J Sports Physiol Perform . 2018 ; 13 : 1042 – 1049 . PubMed ID: 29543071 doi:10.1123/ijspp.2017-0707 10.1123/ijspp.2017-0707 29543071 15. Haddad M , Stylianides G , Djaoui L , Dellal A , Chamari K . Session-RPE method for training load monitoring: validity

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Carolina F. Wilke, Samuel P. Wanner, Weslley H.M. Santos, Eduardo M. Penna, Guilherme P. Ramos, Fabio Y. Nakamura and Rob Duffield

training load monitoring data during the ensuing preseason training. Specifically, for 4 weeks during the 2016 preseason, elite futsal players reported their perception of recovery based on the TQR scale before the first training session of each day, in addition to the duration and quality of their sleep

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John F. Fitzpatrick, Kirsty M. Hicks and Philip R. Hayes

, with training load monitored throughout the period. Before inclusion in this study, players were examined by the club medical staff and were deemed to be free from illness and injury. This study was granted institutional ethics approval from Northumbria University prior to commencement and conformed to