Skip to contentScholarGate
LibraryBookshelfDeskReview StudioAssistant
Sign in
Time-Motion Analysis of Match Play/Evidence
Method evidence record

Time-Motion Analysis of Match Play

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.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Time-Motion Analysis of Match Play (Movement Classification and Locomotor Demand Quantification)
Taxonomic method record · process-pipeline / sport-leisure-studies
  • 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. · DOI 10.2165/00007256-200838100-00004
  • Bloomfield, J., Polman, R., & O'Donoghue, P. (2007). Physical demands of different positions in FA Premier League soccer. Journal of Sports Science and Medicine, 6(1), 63-70. · URL
Open full method

Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Used in the same domainAccelerometer Cut-Point Calibrationmachine-suggested · Relational suggestion, not evidence.Same method familyNotational Analysis in Sportmachine-suggested · Relational suggestion, not evidence.Same method familySequential Behavior Analysis in Sportmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

Actions

Open method page
ScholarGate

A content-first reference library for research methods — what each one is, how it works, and where it comes from.

Open data (CC-BY)

Explore

  • Library
  • Search the library…
  • Browse by field
  • Fields
  • Journey
  • Compare
  • Which method?

Reference

  • Subjects
  • Atlas
  • Glossary
  • Methodology
  • Philosophy

Your tools

  • Bookshelf
  • Desk
  • Chat

Company

  • About
  • Pricing
  • Contact
  • Suggest a method

Entries are compiled from published sources for reference. Verifying the accuracy and suitability of any information for your own use remains your responsibility.

© 2026 ScholarGate · A research-method reference library
  • Privacy
  • Cookies
  • Terms
  • Delete account