A Tactical Periodization Approach for Rugby Union

Tee, Jason; Ashford, Michael; Piggott, David

doi:10.1519/ssc.0000000000000390

Cited by 40 publications

(83 citation statements)

References 31 publications

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“…Nevertheless, these results do not suggest that training spent at low intensity should be completely ignored. Indeed, during a typical competitive week, the first session of the week (36h after a match) was devoted to technical and tactical training and was performed at low intensity according to a tactical periodization approach [39]. Therefore, the present results seem to show more interest in devoting training to high intensity efforts during other training sessions of the week, even if it means reducing training volume.…”

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confidence: 59%

Rugby game performances and weekly workload: Using of data mining process to enter in the complexity

et al. 2020

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This study aimed to i) identify key performance indicators of professional rugby matches, ii) define synthetic indicators of performance and iii) analyze how weekly workload (2WL) influences match performance throughout an entire season at different time-points (considering WL of up to 8 weeks prior to competition). This study uses abundant sports data and data mining techniques to assess player performance and to determine the influence of 2WL on performance. WL, locomotor activity and rugby specific actions were collected on 14 professional players (26.9 ± 1.9 years) during training and official matches. In order to highlight key performance indicators, a mixed-linear model was used to compare the players' activity relatively to competition results. This analysis showed that defensive skills represent a fundamental factor of team performance. Furthermore, a principal component analysis demonstrated that 88% of locomotor activity could be highlighted by 2 dimensions including total distance, high-speed/metabolic efforts and the number of sprints and accelerations. The final purpose of this study was to analyze the influence that WL has on match performance. To verify this, 2 different statistical models were used. A threshold-based model, from data mining processes, identified the positive influence (p<0.05) that chronic body impacts has on the ability to win offensive 1 on 1 duels during competition. This study highlights practical implications necessary for developing a better understanding of rugby match performance through the use of data mining processes.

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confidence: 59%

Rugby game performances and weekly workload: Using of data mining process to enter in the complexity

et al. 2020

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“…Although understanding current and future evolution of sports performance is difficult, there are several strategies that researchers and practitioners may wish to consider. First, sporting organizations might consider establishing a clear performance model [also known as a mental model; (Richards et al, 2012;Tee et al, 2018)] for their respective sport. A performance model allows a 'vision' for organizations to understand and communicate the broad long-term physical, technical, tactical, and psychological aims of their sport, TIDS and program.…”

Section: Possible Solutionsmentioning

confidence: 99%

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

2020

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The modern-day landscape of Olympic and Professional sport is arguably more competitive than ever. One consequence of this is the increased focus on identifying and developing early athletic talent. In this paper, we highlight key challenges associated with talent (athlete) identification and development and propose possible solutions that could be considered by research and practice. The first challenge focuses on clarifying the purposes of talent identification initiatives such as defining what talent is and how its meaning might evolve over time. Challenge two centers on ways to best identify, select and develop talent, including issues with different approaches to identification, the need to understand the impact of development and the need to have appropriate resourcing in the system to support continued development of knowledge. Finally, we discuss two challenges in relation to the 'healthiness' of talent identification and development. The first examines whether a talent identification and development system is 'healthy' for athletes while the second focuses on how sport stakeholders could discourage the apparent trend toward early specialization in youth sport settings. Whilst this paper discusses the research in relation to these challenges, we propose multiple possible solutions that researchers and practitioners could consider for optimizing their approach to talent identification and development. In summary, talent is a complex and largely misunderstood phenomenon lacking robust research evidence, and given concerns that it is potentially unhealthy, talent identification and selection at younger ages is not recommended.

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“…In addition to this scientific and exercise knowledge, the 'what' domain also entails specific knowledge of the sport (or activity) in which the coach works. For example, S&C coaches working in rugby need to understand the impacts endured in games, the frequency and length of high-intensity efforts, how these vary by position (27) and even by team, according to the head coach's playing style (95). An approach to the P-D-R of physical training that is led by an analysis of the tactical demands of sport is becoming popular in soccer (16).…”

Section: Understanding the 'What'mentioning

confidence: 99%

“…For example, a soccer team that plays an aggressive, high-pressing style of defense will need players who can maintain high-intensity, intermittent bursts of speed for long periods of the game. It is arguably up to the lead coaching staff (e.g., head coach) to define a clear 'performance model' and share this with S&C coaches in order to achieve such integration (82,95).…”

Section: Understanding the 'What'mentioning

confidence: 99%

A Framework for Decision-Making Within Strength and Conditioning Coaching

Till

Muir

Abraham

et al. 2019

Strength &Amp; Conditioning Journal

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DECISION-MAKING IS A KEY FACTOR IN DEVELOPING COACH EXPERTISE AND EFFECTIVENESS. THIS ARTICLE PRESENTS A FRAMEWORK FOR ENHANCING COACH DECISION-MAKING WITHIN STRENGTH AND CONDITIONING (S&C). BASED ON THEORETICAL UNDERSTANDING OF THE ATHLETE (THE “WHO”), S&C TRAINING PRINCIPLES AND SPORT DEMANDS (THE “WHAT”), AND LEARNING THEORIES AND BEHAVIOR (THE “HOW”), COACHES CAN ENHANCE S&C PRACTICE (“PLANNING, DELIVERING, AND REFLECTING”). IN ADDITION, UNDERSTANDING CONTEXTUAL CHALLENGES (“CONTEXT, CULTURE, AND POLITICS”) AND OWN BELIEFS, VALUES, AND BEHAVIORS (“SELF”) MUST BE CONSIDERED. RECOMMENDATIONS ARE PRESENTED FOR IMPLEMENTING CONSTRUCTIVELY ALIGNED LEARNING PROGRAMS BASED ON THE DECISION-MAKING FRAMEWORK FOR ENHANCING COACH LEARNING AND PROFESSIONAL DEVELOPMENT WITHIN S&C.

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A Tactical Periodization Approach for Rugby Union

Cited by 40 publications

References 31 publications

Rugby game performances and weekly workload: Using of data mining process to enter in the complexity

Rugby game performances and weekly workload: Using of data mining process to enter in the complexity

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

A Framework for Decision-Making Within Strength and Conditioning Coaching

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