Linganisha mbinu

	Time-Motion Analysis of Match Play	Notational Analysis in Sport
Nyanja	Sport Leisure Studies	Sport Leisure Studies
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1976	2004
Mwanzilishi	Thomas Reilly & V. Thomas; Jonathan Bloomfield, Remco Polman & Peter O'Donoghue	Mike Hughes & Ian Franks; Mike Hughes & Roger Bartlett
Aina	Observational pipeline for quantifying locomotor demands of competition	Observational pipeline for systematic recording of match events
Chanzo asilia	Carling, C., Bloomfield, J., Nelsen, L., & Reilly, T. (2008). The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Medicine, 38(10), 839-862.	Hughes, M., & Franks, I. M. (Eds.). (2004). Notational Analysis of Sport: Systems for Better Coaching and Performance in Sport (2nd ed.). London: Routledge. ISBN: 9780415290043
Majina mbadala	Work-Rate Analysis, Movement Analysis, Locomotor Demand Analysis, Match Activity Profiling	Match Analysis, Performance Analysis (Notational), Hand Notation Systems, Tactical Notation
Zinazohusiana	3	3
Muhtasari	Time-motion analysis quantifies the physical demands of competition by classifying a player's continuous movement into discrete categories — standing, walking, jogging, running, sprinting — and measuring how much time and distance is spent in each. Thomas Reilly and V. Thomas's 1976 study of professional footballers established the template: hand-tracking players through a match, classifying their locomotion into movement bands, and showing that different positional roles impose different work-rates, with midfielders covering the most ground. The method matured through video-based work such as Bloomfield, Polman and O'Donoghue's 2007 analysis of physical demands by position in the Premier League, and has since been transformed by GPS and optical tracking that record position continuously and automatically. Across these technologies the analytical logic is constant: turn continuous locomotion into categorized time-and-distance metrics that characterize the locomotor demands of the sport.	Notational analysis is the systematic recording of the discrete events that make up a sporting performance, so that what happened on the field can be turned into objective, quantifiable evidence rather than the fallible recollection of coaches. Mike Hughes and Ian Franks, in their 2004 edited volume Notational Analysis of Sport, codified the discipline: define a coding system of actions, locations, and outcomes; tally events from video or live observation; and derive summary indicators that describe and discriminate performance. Hughes and Bartlett's 2002 paper on performance indicators added the crucial idea that raw counts must be turned into meaningful, normalized indices — and validated against the criterion of distinguishing successful from unsuccessful play — before they can guide coaching. Together these works ground a pipeline that runs from a structured observation scheme through reliable notation to interpretable performance profiles.