Essentials of Performance Analysis in Sport

Third edition

Mike Hughes, Ian Franks, Ian M. Franks, Henriette Dancs, Mike Hughes, Ian M Franks, Mike Hughes, Ian M. Franks, Henriette Dancs

• Éditeur: Routledge
• Année: 2019
• ISBN:
  9781000753028
• Édition: 3
• Sujet: Sciences biologiques
• Sous-sujet: Sciences du sport et de l'exercice

The coaching process is about enhancing performance by providing feedback about the performance to the athlete or team. Researchers have shown that human observation and memory are not reliable enough to provide accurate and objective information for high-performance athletes. Objective measuring tools are necessary to enable the feedback process. These can take the form of video analysis systems post-event, both biomechanical and computerised notation systems, or the use of in-event systems.

Essentials of Performance Analysis in Sport 3rd Edition is fully revised with updated existing chapters and the addition of 12 new chapters. It is a comprehensive and authoritative guide to this core discipline of contemporary sport science. The book offers a full description of the fundamental theory of match and performance analysis, using real-world illustrative examples and data throughout. It also explores the applied contexts in which analysis can have a significant influence on performance. To this end the book has been defined by five sections.

In Section 1 the background of performance analysis is explained and Section 2 discusses methodologies used in notating sport performance. Current issues of performance analysis applied research, such as chance, momentum theory, perturbations and dynamic systems are explored in Section 3. Profiling, the essential output skill in performance analysis, is examined in depth in Section 4. The book's final section offers invaluable applied information on careers available for performance analysts.

With extended coverage of contemporary issues in performance analysis and contributions from leading performance analysis researchers and practitioners, Essentials of Performance Analysis in Sport 3rd Edition is a complete textbook for any performance analysis course, as well as an invaluable reference for sport science or sport coaching students and researchers, and any coach, analyst or athlete looking to develop their professional insight.

Section IV

Profiling in Sport with Examples

21Performance Profiling

Henriette Dancs, Mike Hughes, Michael T. Hughes, Nic James, Julia Wells and Stafford Murray

21.1 Processes in Creating Performance Profiles

21.1.1 Performance Indicators

A performance indicator is a selection, or combination, of action variables that aims to define some or all aspects of a performance. Analysts and coaches use performance indicators to assess the performance of an individual, a team, or elements of a team. They are sometimes used in a comparative way, with opponents, other athletes or peer groups of athletes or teams, but often they are used in isolation as a measure of the performance of a team or individual alone.

Through an analysis of game structures and the performance indicators used in recent research in performance analysis, Hughes and Bartlett (2002) defined basic rules in the application of performance indicators to any sports. In every case, success is relative, either to your opposition, or to previous performances of the team or individual.

Figure 21.1A schematic chart of the steps required in moving from data gathering to producing a performance profile.

Source: modified from Hughes, 2004b.

To enable a full and objective interpretation of the data from the analysis of a performance, it is necessary to compare the collected data to aggregated data of a peer group of teams, or individuals, which compete at an appropriate standard. In addition any analysis of the distribution of actions across the playing surface must be normalised with respect to the total distribution of actions across the area.

Performance indicators, expressed as non-dimensional ratios, have the advantage of being independent of any units that are used; furthermore, they are implicitly independent of any one variable. They also allow, as in the example of bowling in cricket (see Hughes and Bartlett, 2002), an insight into differences between performers that ...