Notational analysis is a technique for producing a permanent record of the events pertaining to a sporting event and is widely used by sports teams and individuals of various standards. This paper discusses how notational analysis can influence the coaching process, giving examples predominantly taken from published literature related to soccer. The conclusions derived from these works are critically appraised and alternative views given. Current issues that are relevant to both researchers and coaches, such as operational definitions and performance over time, are discussed using data collected via collaboration with a professional soccer team. Results are presented in a number of coach-friendly ways including a novel use of a ‘form chart’ using standardised values for performance indicators relative to the opposition's values. Finally, possible future directions in notational analysis research are briefly considered, including fuzzy logic and artificial neural networks.
HughesM.FranksI.M., Literature Review, in: HughesM.FranksI.M. eds., Notational Analysis of Sport: Systems for Better Coaching and Performance in Sport, 2nd edn, Routledge, London, 2004, 59–106.
2.
FranksI.M.MillerG., Eyewitness Testimony in Sport, Journal of Sport Behavior, 1986, 9, 39–45.
3.
ReillyT.ThomasV., A Motion Analysis of Work-Rate in Different Positional Roles in Professional Football Match-Play, Journal of Human Movement Studies, 1976, 2, 87–97.
4.
PollardR., Charles Reep (1904–2002): Pioneer of Notational and Performance Analysis in Football, Journal of Sports Sciences, 2002, 20(10), 853–855.
5.
ReepC.BenjaminB., Skill and Chance in Association Football, Journal of the Royal Statistical Society. Series A (General), 1968, 131(4), 581–585.
6.
BateR., Football chance: Tactics and Strategy, in: ReillyT.LeesA.DavidsK.MurphyW. eds., Science and Football, E & FN Spon, London, 1988, 293–301.
7.
OlsenE.LarsenØ., Use of Match Analysis by Coaches, in: ReillyT.BangsboJ.HughesM. eds., Science and Football III, E & FN Spon, London, 1997, 209–220.
8.
HughesM.FranksI.M., Analysis of Passing Sequences, Shots and Goals in Soccer, Journal of Sports Sciences, 2005, 23(5), 509–514.
9.
LyonsK., The Long and Direct Road: Charles Reep's Analysis of Association Football, in: HughesM.D. ed., Notational Analysis in Sport III, Centre for Performance Analysis, University of Wales Institute, Cardiff, 1997, 75–82.
10.
EnsumJ.PollardR.TaylorS., Applications of Logistic Regression to Shots at Goal in Association Football, in: ReillyT.CabriJ.ArávjoD. eds., Science and Football IV, Routledge, London, 2005, 211–218.
11.
TengaA.LarsenØ., Testing the Validity of Match Analysis to Describe Playing Styles in Football, International Journal of Performance Analysis in Sport, 2003, 3(2), 90–102.
12.
HughesM.D.EvansS.WellsJ., Establishing Normative Profiles in Performance Analysis, International Journal of Performance Analysis in Sport, 2001, 1, 1–26.
13.
JonesN.M.P.JamesN.MellalieuS.D., The Development of Objective Methodologies for Scoring Team Performance in Elite Rugby Union, Submitted toJournal of Sports Sciences.
14.
HughesM.D.BartlettR.M., The Use of Performance Indicators in Performance Analysis, Journal of Sports Sciences, 2002, 20, 739–754.
15.
Noldus Information Technology, The Observer Version 3.0, Base Package for Windows Reference Manual, Noldus Information Technology, Wageningen, Netherlands, 1995.
16.
TaylorJ.B.MellalieuS.D.JamesN., Behavioural Comparisons of Positional Demands in Professional Soccer, International Journal of Performance Analysis in Sport, 2004, 4, 81–97.
17.
JamesN.JonesN.M.P.MellalieuS.D., The Development of Position-Specific Performance Indicators in Professional Rugby Union, Journal of Sports Sciences, 2005, 23(1), 63–72.
18.
PartridgeD.FranksI.M., A Detailed Analysis of Crossing Opportunities from the 1986 World Cup (Part1), Soccer Journal, 1989, May–June, 47–50.
19.
PartridgeD.FranksI.M., A Detailed Analysis of Crossing Opportunities from the 1986 World Cup (Part 2), Soccer Journal, 1989, May–June, 45–48.
20.
AtkinsonG.NevillA.M., Statistical Methods for Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine, Sports Medicine, 1998, 26, 217–238.
21.
BlandJ.M.AltmanD.G., Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement, The Lancet, 1986, 1, 307–310.
22.
HughesM.D.CooperS.NevillA., Analysis Procedures for Non-Parametric Data from Performance Analysis, International Journal of Performance Analysis in Sport, 2002, 2, 6–20.
23.
JamesN.JonesN.M.P.HollelyC., Reliability of Selected Performance Analysis Systems in Football and Rugby, The Netherlands, Amsterdam, Proceedings of the 4thInternational Conference on Methods and Techniques in Behavioural Research, 2002, 116–118.
24.
WilsonK.BarnesC.A., Reliability and Validity of a Computer Based Notational Analysis System for Competitive Table Tennis, in: LeesA.MaynardI.HughesM.ReillyT. eds., Science and Racket Sports II, E & FN Spon, London, 1998, 265–268.
BlazeA.AtkinsonG.HarwoodC.CaleA., Prevalence and Perceptions of Performance Analysis in the English Premier Association Football League, in: HughesM. ed., Performance Analysis of Sport V, Centre for Performance Analysis, University of Wales Institute, Cardiff, 2004, 79–83.
27.
GroomR.CushionC., Coaches Perceptions of the Use of Video Analysis: A Case Study, Insight, 2004, 7(3), 56–58.
28.
WiemeyerJ., Who Should Play in Which Position in Soccer? Empirical Evidence and Unconventional Modelling, International Journal of Performance Analysis in Sport, 2003, 3(1), 1–18.
29.
PerlJ., Game Analysis and Control by Means of Continuously Learning Networks, International Journal of Performance Analysis of Sport, 2002, 2, 21–35.
30.
BartlettR., Artificial Intelligence in Technique Analysis – Past, Present and Future, International Journal of Performance Analysis in Sport, 2004, 4(2), 4–19.
