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Essentials of Performance Analysis in Sport: Third edition 3rd edition [Kõva köide]

Edited by , Edited by (University of British Columbia, Canada), Edited by , Edited by
  • Formaat: Hardback, 462 pages, kõrgus x laius: 229x152 mm, kaal: 816 g, 90 Tables, black and white; 130 Line drawings, black and white; 41 Halftones, black and white; 139 Illustrations, black and white
  • Ilmumisaeg: 11-Dec-2019
  • Kirjastus: Routledge
  • ISBN-10: 0367355396
  • ISBN-13: 9780367355395
Teised raamatud teemal:
Essentials of Performance Analysis in Sport: Third edition 3rd editionSuurem pilt
  • Formaat: Hardback, 462 pages, kõrgus x laius: 229x152 mm, kaal: 816 g, 90 Tables, black and white; 130 Line drawings, black and white; 41 Halftones, black and white; 139 Illustrations, black and white
  • Ilmumisaeg: 11-Dec-2019
  • Kirjastus: Routledge
  • ISBN-10: 0367355396
  • ISBN-13: 9780367355395
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780367355395.html
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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.

List of figures
xv
List of tables
xxi
About the Editors xxiv
About the Contributors xxv
SECTION I The Background
1(50)
1 The Importance of Feedback to Performance
3(8)
Dana Maslovat
Ian M. Franks
1.1 Background
3(1)
1.2 The Need for Valid and Reliable Feedback
4(2)
1.3 Video Feedback
6(1)
1.4 Presenting Visual Feedback to Athletes
7(1)
1.5 Precision and Timing of Feedback
8(1)
1.6 Feedback and Attentional Focus
9(1)
1.7 Summary
9(2)
2 What is Performance Analysis?
11(10)
Mike Hughes
Roger Bartlett
2.1 Notational Analysis
11(5)
2.1.1 Introduction
11(1)
2.1.2 The Applications of Notation
12(1)
2.1.2.1 Tactical Evaluation
12(1)
2.1.2.2 Technical Evaluation
13(1)
2.1.2.3 Movement Analysis
14(1)
2.1.2.4 Development of a Database and Modelling
15(1)
2.1.2.5 Educational Applications
16(1)
2.2 Biomechanics - What Is the Biomechanical View of Performance Analysis?
16(3)
2.3 Conclusions
19(2)
3 Project Management Issues in Performance Analysis
21(11)
Henriette Dancs
Katalin Kovacs
3.1 The Role of the Performance Analyst in the Coaching Process
21(1)
3.2 About Project Management in General
22(3)
3.3 The Adaptation of Project Management Issues in PA: "Life Cycle of Providing Objective Feedback"
25(7)
3.3.1 Initiation
27(1)
3.3.2 Planning
28(2)
3.3.3 Execution/Implementation and Monitoring
30(1)
3.3.4 Closing
31(1)
4 A Pedagogical Approach to Performance Analysis in Physical Education
32(9)
Katalin Kovacs
Henriette Dancs
4.1 The Role of the Domains in Physical Education
32(4)
4.1.1 Cognitive Domain
32(1)
4.1.2 Psychomotor Domain
33(3)
4.2 Bloom Taxonomy in Performance Analysis in Physical Education and in the Coaching Process
36(4)
4.2.1 Planning
37(1)
4.2.2 Phrasing
38(1)
4.2.3 Evaluation
39(1)
4.3 Summary
40(1)
5 Video-Based Technologies
41(10)
Dario G. Liebermann
Michael T. Hughes
Ian M. Franks
5.1 Augmented Feedback in Elite Sports: True "Need" or "Fashion"?
41(1)
5.2 Extrinsic and Intrinsic Feedback in Sports
42(1)
5.3 Feedback, Video and Motor Learning
43(2)
5.4 Qualitative Feedback and Quantification of Performance Using Video-Based Technologies
45(1)
5.5 Modeling and Learning from Simulation: Feedback about Differences between Simulated and Observed Performance
46(1)
5.6 Watching versus Performing Movements in Virtual and Real Environments
47(1)
5.7 Video Technology and Temporal Feedback
48(1)
5.8 Immediacy as a Prerequisite for the Effective Use of Feedback during Skill Acquisition
49(1)
5.9 Summary
49(2)
SECTION II The Methodology of Notational Analysis
51(90)
6 The Use of Performance Indicators in Performance Analysis
53(22)
Mike Hughes
Roger Bartlett
6.1 Introduction
53(6)
6.2 Analysis of Game Structures
59(14)
6.2.1 Net-Wall Games
59(2)
6.2.1.1 Match Classification Indicators
61(1)
6.2.1.2 Technical Indicators
62(1)
6.2.1.3 Tactical Indicators
63(1)
6.2.1.4 Biomechanical Indicators
63(1)
6.2.2 Invasion Games
64(1)
6.2.2.1 Match Indicators
65(2)
6.2.2.2 Technical Indicators
67(1)
6.2.2.3 Tactical Indicators
67(1)
6.2.2.4 Biomechanical Indicators
68(1)
6.2.3 Striking and Fielding Games
69(1)
6.2.3.1 Match Indicators
69(1)
6.2.3.2 Technical Indicators
70(1)
6.2.3.3 Tactical Indicators
70(1)
6.2.3.4 Biomechanical Indicators
71(2)
6.3 Summary and Conclusions
73(2)
7 Sports Analysis
75(11)
Mike Hughes
7.1 Creating Flowcharts
75(6)
7.2 Levels of Analysis - The Team, Subsidiary Units and Individuals
81(4)
7.3 Summary
85(1)
8 How to Develop a Notation System
86(22)
Mike Hughes
8.1 Data Collection Systems
86(7)
8.1.1 Scatter Diagrams
86(2)
8.1.2 Frequency Tables
88(1)
8.1.3 Sequential Data Systems
89(4)
8.2 Data Collection Systems in General
93(2)
8.3 Examples
95(3)
8.3.1 A Cricket Notation System
95(2)
8.3.2 Examples of Analysis of Cricket Data
97(1)
8.4 General Steps in Analysis
98(3)
8.5 Different Types of Data
101(5)
8.5.1 General or Summary Data
101(1)
8.5.2 Frequency Distributions
101(5)
8.5.3 Sequentially Dependent Data
106(1)
8.6 Summary
106(2)
9 Examples of Notation Systems'
108(33)
Mike Hughes
9.1 Individual Sports
108(10)
9.1.1 A Notation System for Tennis
108(5)
9.1.2 A Notation System for Boxing
113(5)
9.2 Team Sports
118(22)
9.2.1 A Notation System for Basketball
118(3)
9.2.2 A Notation System for Soccer
121(6)
9.2.3 A Notation System for Netball
127(4)
9.2.4 A Motion Analysis of Work-Rate in Different Positional Roles in Field Hockey
131(9)
9.3 Summary
140(1)
SECTION III Current Issues of Performance Analysis
141(162)
10 Reliability Issues in Sports Performance Analysis
143(18)
Peter O'donoghue
Mike Hughes
10.1 Measurement Issues in Performance Analysis
143(5)
10.1.1 Validity
143(1)
10.1.2 Objectivity
144(1)
10.1.3 Reliability
145(1)
10.1.4 Consistency and Completeness Checking
146(1)
10.1.5 Representativeness
147(1)
10.1.6 Performance Indicators
148(1)
10.2 Reliability Statistics
148(8)
10.2.1 Sample Data
148(1)
10.2.2 Preparing Data for Reliability Assessment
149(2)
10.2.3 Reliability of Output Frequencies
151(1)
10.2.4 Reliability of Raw Input Data
152(4)
10.3 Relating Reliability to the Analytical Goals of Studies
156(4)
10.4 Conclusions
160(1)
11 The Statistical Processes of Identifying KPIs in a Sport, Using Basketball as an Example
161(11)
Gabor Csataljay
Henriette Dancs
11.1 Introduction - Statistical Procedures
161(1)
11.1.1 Performance Indicators that Distinguish Winning and Losing Teams in Basketball
161(1)
11.2 Identification of Performance Indicators Considering Score Difference
162(4)
11.2.1 Methods
163(1)
11.2.2 Results
164(1)
11.2.3 Discussion
164(2)
11.3 Principal-Component Analysis of Basketball Performance Indicators
166(5)
11.3.1 Methods
166(2)
11.3.2 Results
168(1)
11.3.3 Discussion
169(2)
11.5 Conclusions
171(1)
12 Sport Analytics as a Tool for Effective Decision-Making
172(12)
Tamas Sterbenz
Kristof Vilagi
Gergely Csurilla
12.1 Introduction
172(6)
12.1.1 Bounded Rationality Theory in Basketball
172(2)
12.1.2 Uncertainty, Risk and Complexity in Sports
174(3)
12.1.3 Offensive Strategy in Basketball
177(1)
12.2 The Role of Statistics in Sports
178(5)
12.2.1 The Traps in Using Statistical Methods
180(1)
12.2.2 The Trap of Averages
181(2)
12.3 Conclusions
183(1)
13 Qualitative Biomechanical Analysis of Technique
184(12)
Arnold Baca
Martin Grober
13.1 Observational Strategies
184(5)
13.1.1 Overview
185(1)
13.1.2 Phase Analysis Model
185(2)
13.1.3 Morphological Approach
187(2)
13.2 Tools
189(3)
13.2.1 Apps
189(2)
13.2.2 Software for Windows
191(1)
13.3 Example
192(4)
13.3.1 Preparation
192(1)
13.3.2 Observation
192(2)
13.3.3 Evaluation
194(1)
13.3.4 Intervention
195(1)
14 Probability Analysis of Sports Contests: Skill and Chance
196(11)
Tim Mcgarry
Alex Dodgshon
14.1 Skill and Chance
196(1)
14.2 Probability: Stationarity and Independence
196(1)
14.3 Taking a Random Walk in a Field of Probabilities
197(2)
14.4 Investigating Sports Contests Using Probability Analysis
199(1)
14.5 Football: The Penalty Shoot-Out
199(3)
14.6 Football: Passing Sequences and Goals Scored
202(2)
14.7 Football: Expected Goals
204(1)
14.8 On the Requirement for Invariant Data
205(1)
14.9 Conclusions
205(2)
15 Applied Motion Analysis
207(8)
Michael T. Hughes
15.1 Introduction
207(2)
15.2 GPS Use in Team Sports
209(4)
15.3 Local Positioning Systems
213(1)
15.4 Optical Tracking in Sport
213(1)
15.5 Conclusions
214(1)
16 Momentum and "Hot Hands"
215(21)
Mike Hughes
Nic James
Michael T. Hughes
Henriette Dancs
Stafford Murray
16.1 The "Hot Hands" Myth
215(1)
16.2 Momentum through Notational Analysis Studies
216(18)
16.2.1 Momentum Graphs - The Beginning in Squash
217(5)
16.2.2 Examining the Patterns within the Graphs
222(3)
16.2.3 Perturbations in Sports Match Play
225(7)
16.2.4 Momentum and Perturbations in Other Team Sports
232(2)
16.3 Summary
234(2)
17 Dynamical Systems Theory and "Perturbations"
236(30)
Matthew Robins
Mike Hughes
17.1 Introduction
236(1)
17.2 What is a Dynamical System?
236(2)
17.3 The Features of a Dynamical System
238(4)
17.4 Inter-Personal Coordination
242(4)
17.5 Perturbations
246(19)
17.5.1 Methods in Soccer
248(1)
17.5.2 Methods in Squash
249(1)
17.5.3 Results in Soccer
249(4)
17.5.3.1 Perturbations not Leading to Shots on Goal
253(2)
17.5.3.2 Creating a Performance Profile Using Perturbations in Soccer - A Case Study of Arsenal
255(6)
17.5.4 General Results in Squash
261(4)
17.6 Conclusions
265(1)
18 Rule Changes in Sport and the Role of Notation
266(15)
Jason Williams
18.1 Safety
266(3)
18.2 Natural Development and Progression
269(3)
18.3 Entertainment, Commercial and Media
272(2)
18.4 The Role of Notational Analysis in Tracking the Effect of Rule Changes
274(3)
18.5 Rules and Cheating
277(3)
18.6 Conclusion
280(1)
19 Notational Analysis of Coaching Behaviour
281(13)
Kenny More
Ewan Cameron
Ian M. Franks
19.1 Introduction
281(1)
19.2 Evolution of the Analysis of Coaching Behaviour
282(2)
19.2.1 A Historical Perspective
282(1)
19.2.2 Systematic Observation Instruments
282(2)
19.3 Purpose and Examples of Published Work
284(8)
19.3.1 Building a Knowledge Base of Coaching Behaviour
285(1)
19.3.2 Building a Knowledge Base Related to the Impact of Coaching Behaviours
285(1)
19.3.3 Developing Effective Coaching Behaviours
286(6)
19.4 Summary
292(2)
20 Performance Analysis in Elite Masters Football: Strategic Team and Player Development Implications
294(9)
Harry Hubball
Philippe Lopes
20.1 Theoretical Underpinnings for Performance Analysis in Elite Masters Football
294(2)
20.2 Conceptual Framework: A Performance Analysis Framework to Enhance Strategic Team and Player Development in Elite 055+ Masters Small-Sided Football Contexts
296(2)
20.3 Case Study Application
298(2)
20.3.1 HIPC (Tournament-Specific Challenge)
298(1)
20.3.2 HITC, HITD and HITO (Tournament-Specific Challenge)
299(1)
20.4 Evidence of Impact
300(1)
20.5 Summary
301(2)
SECTION IV Profiling in Sport with Examples
303(90)
21 Performance Profiling
305(23)
Henriette Dancs
Mike Hughes
Michael T. Hughes
Nic James
Julia Wells
Stafford Murray
21.1 Processes in Creating Performance Profiles
305(21)
21.1.1 Performance Indicators
305(3)
21.1.2 Analysis of the Relative Importance of Performance Indicators
308(2)
21.1.3 Pliability
310(1)
21.1.4 Establishing the Stability of Performance Profiles
311(1)
21.1.4.1 Empirical Methods
311(1)
21.1.4.2 Confidence Intervals
312(1)
21.1.4.3 Normative Profiles of Sports Performance (O'Donoghue, 2005)
313(2)
21.1.5 Comparing Sets of Data
315(2)
21.1.6 Presenting Performance Profiles
317(1)
21.1.6.1 Empirical Models
318(1)
21.1.6.2 Examples
319(7)
21.2 Overall Conclusions
326(2)
22 Example of Profiling Techniques: Profiling in Soccer
328(25)
Henriette Dancs
Mike Hughes
Nic James
22.1 Introduction
328(1)
22.2 Example 1 - Individual Roles within a Team Framework - the Pis
328(6)
22.2.1 Methodology
329(5)
22.3 Example 2 - Learning from Crossing and Shooting in the 1986 and 1998 World Cups For Soccer
334(6)
22.4 Example 3 - Analysis of Penalties Taken in Shoot-Outs
340(11)
22.5 Conclusion
351(2)
23 Example of Profiling Techniques: Performance Profiling in Squash
353(11)
Mike Hughes
Michael T. Hughes
Nic James
Julia Wells
Stafford Murray
23.1 Introduction
353(1)
23.2 Method
354(3)
23.2.1 Subjects
354(1)
23.2.2 Data Collection
354(1)
23.2.3 Real-Time Analysis System
355(1)
23.2.4 Lapse-Time Analysis System
355(2)
23.3 Results and Discussion
357(6)
23.4 Conclusions
363(1)
24 Profiling in Canoeing - A Practical Example
364(6)
Julia Wells
24.1 Data Reliability
364(1)
24.2 Performance Indicators
365(3)
24.2.1 Examining Performance Indicators (Pis)
365(1)
24.2.1.1 Broad Pis
365(1)
24.2.1.2 Results
366(1)
24.2.1.3 Specific Pis
367(1)
24.2.1.4 Implications for Coaching
367(1)
24.3 Conclusions
368(2)
25 Performance Profiling in Rugby Union
370(23)
Michael Thomas Hughes
Jason Williams
Nic James
Mike Hughes
25.1 Introduction
370(1)
25.2 Performance Indicators (Pis)
371(1)
25.3 Pis in Rugby
371(1)
25.4 Performance Profiles in Rugby
372(1)
25.5 Example
373(16)
25.5.1 Method
373(1)
25.5.2 Results and Discussion
374(10)
25.5.3 Pis in Rugby
384(1)
25.5.4 Performance Profiles in Rugby
385(4)
25.6 Pis in Team Sports
389(1)
25.7 Moneyball and Rugby Union
390(1)
25.8 Conclusions
390(3)
SECTION V Careers in Performance Analysis
393(18)
26 Accreditation
395(12)
Michael T. Hughes
Nic James
Mike D. Hughes
26.1 Reasons Why We Look to Accredit and Why It Is Important for Independent Bodies
395(1)
26.2 How We Approached Creating the Accreditation System
396(1)
26.3 Four Major Streams Identified
396(1)
26.4 Individual Accreditation
397(2)
26.4.1 Data - Core Competency
397(1)
26.4.2 Management
397(1)
26.4.3 Analysis
398(1)
26.4.4 Video - Core Competency
398(1)
26.5 Academic - Specialist Competency
399(1)
26.5.1 Qualifications
399(1)
26.5.2 Area of Expertise
399(1)
26.6 Applied - Specialist Competency
400(1)
26.6.1 Data Visualisation
400(1)
26.6.2 Systems Development
400(1)
26.7 Communication
401(1)
26.8 Departmental Accreditation
401(1)
26.8.1 Data - Core Competency
401(1)
26.9 Video - Core Competency
402(1)
26.10 Academic - Specialist Competency
403(1)
26.11 Applied - Specialist Competency
404(1)
26.12 Conclusions
405(2)
27 Cooperation between Performance Analysts and Sport Data Analysts
407(4)
Henriette Dancs
27.1 Ongoing Issues about Sport Data Analytics
407(2)
27.2 The Significance of the Cooperation between Performance Analysts and Sport Data Analysts-A Challenge to Fulfil!
409(1)
27.3 Conclusion
410(1)
References and Bibliography 411(44)
Index 455
Mike Hughes is Emeritus Professor of Sport and Exercise Science, Cardiff Metropolitan University, UK. He is the founder and now President of ISPAS (International Society of Performance Analysis of Sport); President of the International Society of Performance Analysis of Sport Asia; Member of the Coordination Council, and Chair of the Performance Analysis Group for the International Network of Sport and Health Science. He has four International Journal Editorial Board positions. He has published over 200 papers, over 24 books, organised 25 international conferences, and is a frequent keynote speaker. He is also a consultant to NGBs - for squash, rugby, hockey, soccer and badminton - EIS, PGIR. His accreditations include Level 5 by ISPAS; BASES Accredited Sport and Exercise Scientist. He is a Level IV squash coach, has coached English and Welsh national squads, and GB University squash squad. He founded the International Journal of Performance Analysis of Sport. His research interests include analysis of sports performance, analysis of coaching behaviour, developing methodologies in notational analysis, modelling of sports performance, dynamic systems and momentum in sport and Performance profiling.

Ian M. Franks PhD is Professor Emeritus at the University of British Columbia (UBC), Canada. He now specializes in the neural control of skillful movement in his Motor Learning and Control Laboratory at the School of Kinesiology, UBC. Since joining UBC in 1980 he has published over 150 refereed research articles, 22 book chapters and five books in the areas of Sport Analysis, Skill Acquisition and Movement Control.

Henriette Dancs is a Professor in the Institute of Sport Sciences at Szombathely, Eötvös Loránd University, Hungary. Professor Dancs has more than 30 years' academic experience involved in wide range of different academic activities in Hungary and in abroad (Founder/Coordinator and now General Secretary of the International Network on Sport and Health Sciences). She has developed and designed courses and also was involved in the organization of a number of international academic projects (e.g. IPPAS 2000- 2003, an international ISPAS courses) and study programs on the field of Performance Analysis in Sport. Her related lecturing subjects are Perfomance Analysis in Sport, Notational Anaylsis, and Project Management.