Sports coaches’ commonly have a limited appreciation of pedagogy (Light & Evans, 2013). Furthermore, investigations concerning coaches’ use of performance analysis for athlete learning are rare (Groom, Cushion, & Nelson, 2011). Complex Learning Theory (CLT) advocates nonlinear and sociocultural educative approaches (Light, 2013). Considering this digital age, the aim of this investigation was to examine coaches’ use of Coach Logic—an online video-based coaching platform. Seven Head Coaches (five rugby union and two field hockey) were interviewed individually whilst their coaching staff and players contributed to group interviews. Results confirmed a priori themes of active, social and interpretive as derived from CLT. Analysis of these findings established that online coaching platforms have the capacity to facilitate the active involvement of athletes in the process of performance analysis. From a social perspective, online coaching platforms have helped to develop a positive team environment and also interpersonal working. Good practice was evident relating to interpretive approaches; however, the potential for coaches to embrace more radical conceptualisations of knowledge acquisition is stark. Online coaching platforms have a place in contemporary team sport environments and can contribute to athlete learning and other important aspects of team culture and cohesion.
Don Vinson, Kelvin Beeching, Michelle Morgan, and Gareth Jones
Otávio Luis Piva da Cunha Furtado, Mikko Häyrinen, Isabela dos Santos Alves, Leonardo Travitzki, and Márcio Pereira Morato
more than 10 years as coach and manager in goalball and 4 years in performance analysis techniques) and the fourth author (experience of 3 years in performance analysis techniques; Figure 2 ). Video analyses were carried out using Kinovea (version 0.8.15), a free motion-analysis software program
Victor Silveira Coswig, Bianca Miarka, Daniel Alvarez Pires, Levy Mendes da Silva, Charles Bartel, and Fabrício Boscolo Del Vecchio
:10.1519/JSC.0b013e31828a1e91 10.1519/JSC.0b013e31828a1e91 Kirk , C. , Hurst , H.T. , & Atkins , S. ( 2015 ). Measuring the workload of mixed martial arts using accelerometry, time motion analysis and lactate . International Journal of Performance Analysis in Sport, 15 ( 1 ), 359 – 370
Nicola Taylor, David Giles, Micha Panáčková, James Mitchell, Joel Chidley, and Nick Draper
practice in mainstream sport, 6 where performance-analysis techniques are used as an information source for the coaching process. 7 Equally, the systematic observations of the application of skill and technique during a climber’s ascent are an important element of the climbing coaching process. 8 In
Jorge Arede, António Paulo Ferreira, Oliver Gonzalo-Skok, and Nuno Leite
clarification of this aspect of selection may reveal some weaknesses (eg, unintended biased in the evaluation of players), which may be confusing the process of performance analysis and national team recruitment. Thus, considering the long-term development of a basketball player, 11 it is advisable to include
Luciana De Martin Silva and John W. Francis
culture and cohesion. In this context, performance analysis (PA) was utilized as an available learning tool to encourage collaborative learning. Performance Analysis and Collaborative Blended Learning Performance analysis has become an integral component within the coaching process, providing coaches
Sadjad Soltanzadeh and Mitchell Mooney
). Introduction to theoretical astrophysics . CreateSpace Independent Publishing Platform . McLean , S. , Salmon , P.M. , Gorman , A.D. , Read , G.J.M. , & Solomon , C. ( 2017 ) What’s in a game? A systems approach to enhancing performance analysis in football . PLoS ONE, 12 ( 2 ), 0172565
Sadjad Soltanzadeh and Mitchell Mooney
Systems thinking has been developed and used in many fields such as management, economics, and engineering in the past few decades. Although implicit elements of systems thinking may be found in some coaching biographies and autobiographies, a critical and explicit work on systems thinking that examines its principles and its relevance to sport sciences and coaching is yet to be developed. The aim of this Insight paper is to explore systems thinking and its potential for modelling and analysing team performance by (a) explaining how systems thinking is used in other fields, (b) highlighting the importance of conceptual analysis and critical thinking next to data collecting practices, and (c) contrasting systems thinking with the common approaches to modelling and analysing team performance.
Jace A. Delaney, Heidi R. Thornton, Grant M. Duthie, and Ben J. Dascombe
Rugby league coaches adopt replacement strategies for their interchange players to maximize running intensity; however, it is important to understand the factors that may influence match performance.
To assess the independent factors affecting running intensity sustained by interchange players during professional rugby league.
Global positioning system (GPS) data were collected from all interchanged players (starters and nonstarters) in a professional rugby league squad across 24 matches of a National Rugby League season. A multilevel mixed-model approach was employed to establish the effect of various technical (attacking and defensive involvements), temporal (bout duration, time in possession, etc), and situational (season phase, recovery cycle, etc) factors on the relative distance covered and average metabolic power (Pmet) during competition. Significant effects were standardized using correlation coefficients, and the likelihood of the effect was described using magnitude-based inferences.
Superior intermittent running ability resulted in very likely large increases in both relative distance and Pmet. As the length of a bout increased, both measures of running intensity exhibited a small decrease. There were at least likely small increases in running intensity for matches played after short recovery cycles and against strong opposition. During a bout, the number of collision-based involvements increased running intensity, whereas time in possession and ball time out of play decreased demands.
These data demonstrate a complex interaction of individual- and match-based factors that require consideration when developing interchange strategies, and the manipulation of training loads during shorter recovery periods and against stronger opponents may be beneficial.