ABSTRACT
Notation analysis of sport is used to reinforce desired athletic behaviour and, where necessary, prescribe appropriate remedial action. Its utility for preparing for forthcoming competition, however, is often restricted. The reporting of summary match statistics, for instance, fails to depict the dependencies of discrete observations to other behavioural events, even though these sequential relationships may be of primary importance in determining subsequent outcome. Computer analytic procedures for the notation of sport performance now afford the easy collection, storage and analysis of large amounts of sequential data from various sport competitions (Franks et al., 1987), while the recent advance of statistical techniques such as log-linear analysis further enable the sport scientist to more fully explore these time dependent data (Born and Schutz, 1992).
