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Individualisation of time-motion analysis: a method comparison and case report series.
F Hunter1, J Bray2, C Towlson2
1Medical and Sports Science Department, Southampton Football Club, Southampton, United Kingdom.
International Journal of Sports Medicine
|September 27, 2014
Summary
Individualizing speed zones using only maximal sprint speed (MSS) or maximal aerobic speed (MAS) can misinterpret high-speed running data. A combined approach using anaerobic threshold, MAS, and MSS is recommended for accurate analysis.
Area of Science:
- Sports Science
- Exercise Physiology
- Performance Analysis
Background:
- Accurate interpretation of time-motion analysis data is crucial for optimizing athlete training and performance.
- Current methods for categorizing speed zones in athlete tracking data vary, potentially leading to inconsistencies.
- Individualizing speed thresholds based on physiological markers is essential for precise intensity distribution analysis.
Purpose of the Study:
- To compare the intensity distribution of time-motion analysis data using different methods of categorizing speed zones.
- To evaluate the impact of individualized versus arbitrary speed thresholds on the interpretation of player workloads.
- To determine the most accurate method for individualizing speed zones based on key physiological parameters.
Main Methods:
- 12 U18 players underwent laboratory and field tests to determine respiratory compensation threshold (RCT), maximal aerobic speed (MAS), maximal oxygen consumption (vV˙O2max), and maximal sprint speed (MSS).
- Player movement data were collected using 5 Hz GPS units during 22 fixtures (50 match observations).
- Percentage of distance covered at high-speed (HSR), very-high speed (VHSR), and sprinting was calculated using five different speed threshold methods: arbitrary, individualized (IND) using RCT, vV˙O2max, and MSS; MAS alone; MSS alone; and MAS and MSS combined (LOCO).
Main Results:
- Using maximal sprint speed (MSS) alone resulted in 61% and 39% misinterpretation of high-speed running (HSR) and very-high speed running (VHSR) percentages, respectively, compared to the individualized (IND) method.
- Estimating the respiratory compensation threshold (RCT) from fractional values of maximal aerobic speed (MAS) led to erroneous interpretations of HSR in 50% of cases.
- Arbitrary speed thresholds significantly differed from individualized methods in determining intensity distribution.
Conclusions:
- Practitioners and researchers should avoid using singular fitness characteristics (e.g., MSS or MAS alone) to individualize time-motion analysis data.
- A combination of the anaerobic threshold, MAS, and MSS is recommended for accurate individualization of player-tracking data.
- Accurate intensity distribution analysis requires a multi-faceted approach to speed zone categorization.
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