Ballistic power: GPS-derived measurements suitable for the real-time monitoring of neuromuscular fatigue during repeated sprints

Power-force-velocity ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> ) measurements have traditionally been employed to characterize the limits of an athlete’s neuromuscular system. However, in more recent years, there has been growing interest in whether <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> metrics can also be used to define and assess training outcomes, e.g., as an indicator of performance and/or neuromuscular fatigue. Here we assess performance in a repeated sprint ability ( RSA ) test using traditional <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> measurements, alongside two novel metrics: ballistic power ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> ) and the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> -offset, with the changes observed attributed to neuromuscular fatigue. Twenty-four physically active males (age = 26.08 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>±</mml:mo> </mml:math> 6.84 years) undertook the RSA test, consisting of 3 sets of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>50</mml:mn> </mml:mrow> </mml:math> m maximal sprints, with each participant wearing a STATSports Apex Pro series unit to track their motion. Mixed-effect models show how power-related metrics have the largest reduction due to fatigue compared to their force and velocity counterparts, with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> showing the largest decrease of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>∼</mml:mo> </mml:math> 31.8% ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>−</mml:mo> <mml:mn>40.2</mml:mn> <mml:mo>≤</mml:mo> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo stretchy="false">(</mml:mo> <mml:mrow> <mml:mi mathvariant="normal">%</mml:mi> <mml:mspace width=".1em"/> <mml:mi mathvariant="normal">change</mml:mi> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> <mml:mo>≤</mml:mo> <mml:mspace width=".1em"/> <mml:mo>−</mml:mo> <mml:mn>23.4</mml:mn> </mml:math> , 95% CI, Cohen’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>d</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1.60</mml:mn> </mml:math> ) across the RSA test performed. We demonstrate that ballistic power, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> , is the most reactive metric to athlete fatigue amongst the considered values. The described methods provide a promising, feasible tool for field-based monitoring of fatigue using routine GPS data.

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Journal
International Journal of Sports Science & Coaching
Published
2026-02-03
DOI
https://doi.org/10.1177/17479541251413077
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Sports Performance and Training
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article
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article

Ballistic power: GPS-derived measurements suitable for the real-time monitoring of neuromuscular fatigue during repeated sprints

Lisa McFetridge, Tiago de Melo Malaquias, Joseph W. Shaw, Ruth Montgomery et al.
International Journal of Sports Science & Coaching
Sports Performance and Training
article

Ballistic power: GPS-derived measurements suitable for the real-time monitoring of neuromuscular fatigue during repeated sprints

Lisa McFetridge, Tiago de Melo Malaquias, Joseph W. Shaw, Ruth Montgomery, Samuel D. T. Grant, Eamon McGleenan, Jack C. J. Brown, David B. Jess
article en

Abstract

Power-force-velocity ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> ) measurements have traditionally been employed to characterize the limits of an athlete’s neuromuscular system. However, in more recent years, there has been growing interest in whether <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> metrics can also be used to define and assess training outcomes, e.g., as an indicator of performance and/or neuromuscular fatigue. Here we assess performance in a repeated sprint ability ( RSA ) test using traditional <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>P</mml:mi> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> measurements, alongside two novel metrics: ballistic power ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> ) and the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>F</mml:mi> <mml:mi>v</mml:mi> </mml:math> -offset, with the changes observed attributed to neuromuscular fatigue. Twenty-four physically active males (age = 26.08 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>±</mml:mo> </mml:math> 6.84 years) undertook the RSA test, consisting of 3 sets of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:mn>5</mml:mn> <mml:mo>×</mml:mo> <mml:mn>50</mml:mn> </mml:mrow> </mml:math> m maximal sprints, with each participant wearing a STATSports Apex Pro series unit to track their motion. Mixed-effect models show how power-related metrics have the largest reduction due to fatigue compared to their force and velocity counterparts, with <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> showing the largest decrease of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>∼</mml:mo> </mml:math> 31.8% ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mo>−</mml:mo> <mml:mn>40.2</mml:mn> <mml:mo>≤</mml:mo> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> <mml:mo stretchy="false">(</mml:mo> <mml:mrow> <mml:mi mathvariant="normal">%</mml:mi> <mml:mspace width=".1em"/> <mml:mi mathvariant="normal">change</mml:mi> </mml:mrow> <mml:mo stretchy="false">)</mml:mo> <mml:mo>≤</mml:mo> <mml:mspace width=".1em"/> <mml:mo>−</mml:mo> <mml:mn>23.4</mml:mn> </mml:math> , 95% CI, Cohen’s <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>d</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1.60</mml:mn> </mml:math> ) across the RSA test performed. We demonstrate that ballistic power, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msub> <mml:mi>P</mml:mi> <mml:mrow> <mml:mrow> <mml:mi mathvariant="normal">B</mml:mi> </mml:mrow> </mml:mrow> </mml:msub> </mml:math> , is the most reactive metric to athlete fatigue amongst the considered values. The described methods provide a promising, feasible tool for field-based monitoring of fatigue using routine GPS data.

International Journal of Sports Science & Coaching
Queen's University Belfast (GB), St Mary's University Twickenham London (GB), Saad Specialist Hospital (SA), Irish Rugby Football Union (IE), Rauma Group (Norway) (NO)
Openalex Percentile: Top 69%
Sports Performance and Training
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