List of figures |
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xi | |
List of tables |
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xvii | |
Notes on contributors |
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xx | |
Preface |
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xxv | |
Acknowledgements |
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xxvi | |
Abbreviations |
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xxvii | |
Introduction |
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1 | (10) |
1 The importance of feedback to performance |
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11 | (7) |
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11 | (1) |
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1.2 The need for valid and reliable feedback |
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12 | (1) |
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13 | (1) |
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1.4 Presenting visual feedback to athletes |
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14 | (2) |
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1.5 Precision and timing of feedback |
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16 | (1) |
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16 | (2) |
2 What is performance analysis? |
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18 | (11) |
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18 | (1) |
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19 | (5) |
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2.3 Biomechanics - what is the biomechanical view of performance analysis? |
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24 | (4) |
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28 | (1) |
3 Providing information for teaching skills in sport |
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29 | (15) |
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29 | (2) |
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3.2 The micro-cycle: coaching from trial to trial |
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31 | (3) |
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3.3 The meso-cycle: considerations for planning a practice session |
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34 | (5) |
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3.4 The macro-cycle: coaching for long-term development |
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39 | (3) |
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42 | (2) |
4 Video-based technologies, substitution of reality and performance feedback |
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44 | (10) |
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44 | (1) |
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4.2 Augmented feedback in elite sports: true "need" or "fashion"? |
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44 | (1) |
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4.3 Extrinsic and intrinsic feedback in sports |
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45 | (2) |
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4.4 Feedback, video and motor learning |
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47 | (1) |
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4.5 Qualitative feedback and quantification of performance using video-based technologies |
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48 | (2) |
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4.6 Modeling and learning from simulation: feedback about differences between simulated and observed performance |
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50 | (1) |
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4.7 Watching versus performing movements in virtual and real environments |
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51 | (1) |
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4.8 Video technology and temporal feedback |
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51 | (1) |
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4.9 Immediacy as a prerequisite for the effective use of feedback during skill acquisition |
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52 | (1) |
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53 | (1) |
5 An overview of the development of notation analysis |
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54 | (35) |
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54 | (1) |
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5.2 The development of sport-specific notation systems (hand notation) |
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55 | (5) |
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5.3 Introduction to computerised notational analysis |
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60 | (1) |
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5.4 Some research using computer systems |
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61 | (4) |
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65 | (14) |
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5.6 Current areas of research and support |
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79 | (5) |
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5.7 Research into the methodology and theory of notational analysis |
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84 | (1) |
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84 | (3) |
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5.9 The future of notational analysis |
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87 | (2) |
6 The use of performance indicators in performance analysis |
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89 | (24) |
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89 | (1) |
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89 | (6) |
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6.3 Analysis of game structures |
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95 | (16) |
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6.4 Summary and conclusions |
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111 | (2) |
7 Sports analysis |
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113 | (11) |
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113 | (1) |
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114 | (5) |
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7.3 Levels of analysis - the team, subsidiary units and individuals |
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119 | (4) |
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123 | (1) |
8 How do we design simple systems? How to develop a notation system |
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124 | (11) |
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124 | (1) |
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8.2 Data collection systems |
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124 | (8) |
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8.3 Data collection systems in general |
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132 | (3) |
9 Examples of notation systems |
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135 | (34) |
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135 | (1) |
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135 | (10) |
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145 | (23) |
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168 | (1) |
10 Analysis of notation data: reliability |
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169 | (11) |
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169 | (1) |
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10.2 The nature of the data, the depth of analysis |
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170 | (1) |
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10.3 Consistency of percentage difference calculations |
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171 | (1) |
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172 | (2) |
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10.5 Visual interpretation of the data (a modified Bland and Altman plot) |
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174 | (3) |
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177 | (3) |
11 Qualitative biomechanical analysis of technique |
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180 | (18) |
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180 | (1) |
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181 | (4) |
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185 | (5) |
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11.4 Recent thoughts and developments |
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190 | (1) |
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191 | (1) |
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192 | (6) |
12 Applied motion analysis |
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198 | (26) |
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a Systems of measurement in time-motion analysis - a case study of soccer |
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198 | (17) |
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198 | (1) |
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12a.2 Manual notation systems |
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199 | (1) |
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12a.3 Computerised generic systems |
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200 | (4) |
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12a.4 Human operated/video-based semi-automatic player tracking systems |
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204 | (3) |
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12a.5 Global positioning systems |
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207 | (3) |
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12a.6 Automatic player tracking systems |
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210 | (2) |
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12a.7 Sensor technology companies |
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212 | (1) |
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213 | (1) |
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214 | (1) |
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b Some practical notes on GPS systems |
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215 | (9) |
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12b.1 Introduction - inside the GPS unit |
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215 | (1) |
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216 | (1) |
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216 | (1) |
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12b.4 GPS validity and reliability - a collection of independent research findings |
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217 | (3) |
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12b.5 GPS application to rugby |
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220 | (3) |
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223 | (1) |
13 Probability analysis of notated events in sports contests: skill and chance |
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224 | (15) |
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224 | (1) |
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224 | (1) |
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13.3 Probability: stationarity and independence |
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225 | (1) |
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13.4 Taking a random walk in a field of probabilities |
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226 | (2) |
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13.5 Investigating sports contests using probability analysis |
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228 | (1) |
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13.6 Football: identifying optimised game strategies for the penalty shoot-out |
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229 | (2) |
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13.7 Football: the negative binomial distribution of passing sequences and the shot-to-goal ratio |
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231 | (2) |
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13.8 On the requirement for invariant data for probability analysis of sports behaviour |
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233 | (5) |
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238 | (1) |
14 Dynamic systems and 'perturbations' |
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239 | (31) |
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239 | (1) |
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14.2 What is a dynamic system? |
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239 | (2) |
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14.3 The features of a dynamic system |
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241 | (3) |
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14.4 Inter-personal coordination |
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244 | (5) |
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249 | (19) |
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268 | (2) |
15 Momentum and 'hot hands' |
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270 | (22) |
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270 | (1) |
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270 | (2) |
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15.3 Momentum through notational analysis studies |
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272 | (18) |
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290 | (2) |
16 Performance profiling |
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292 | (42) |
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292 | (1) |
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16.2 Processes in creating performance profiles |
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293 | (34) |
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16.3 Profiling in canoeing - a practical example |
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327 | (5) |
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332 | (2) |
17 Rule changes in sport and the role of notation |
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334 | (16) |
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334 | (9) |
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17.2 The role of notational analysis in tracking the effect of rules changes |
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343 | (3) |
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346 | (3) |
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349 | (1) |
18 Notational analysis of coaching behaviour |
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350 | (13) |
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18.1 Introduction: notational analysis and the coaching process |
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350 | (1) |
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18.2 Evolution of the analysis of coaching behaviour |
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351 | (3) |
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18.3 Purpose and examples of published work |
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354 | (8) |
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362 | (1) |
19 Performance analysis in the media |
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363 | (18) |
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363 | (1) |
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364 | (1) |
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364 | (8) |
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372 | (2) |
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19.5 Striking and fielding games |
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374 | (6) |
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380 | (1) |
References and bibliography |
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381 | (36) |
Index |
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417 | |