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Case series examines muscle oxygen saturation's relationship with internal load in elite soccer players, suggesting better performance tracking.
Herzog, S, Philippi, M, Feldmann, A, Asian, J, Filter, A, Requena, B, Batterson, PM, and Bogdanis, GC. Muscle oxygen saturation as a marker of internal load in elite soccer: A case series. J Strength Cond Res XX(X): 000-000, 2026-Accurate monitoring of internal and external load during training is essential for optimizing performance and managing fatigue. In soccer, heart rate (HR) is commonly used to assess internal load. This study examined the use of muscle near-infrared spectroscopy, which measures muscle oxygen saturation (SmO2), as a potential alternative to HR by providing real-time insights into local muscular effort. Seventeen elite male professional soccer players (21.2 ± 4.01 years) performed an incremental treadmill test to exhaustion, of whom 14 had complete data sets suitable for threshold analyses. During the test, HR, expired gases, and SmO2 of the vastus lateralis were continuously measured to identify ventilatory, lactate, and SmO2 breakpoints. On a separate day, HR and SmO2 were recorded in a subset of five players during small- and large-sided games (SSG and LSG). A repeated-measures analyses of variance comparing HR corresponding to the three different thresholds indicated that HR at BP2 (178 ± 5 beats·minute-1) was similar with HR at LT2 and VT2 (177 ± 7 beats·minute-1 and 181 ± 6 p = 1.000 and p = 0.0920, respectively). Bland-Altman analysis indicated acceptable agreement between HR thresholds, while SmO2 thresholds showed wider limits of agreement and greater individual variability. During small-sided game and LSG, players spent significantly more time above SmO2-based thresholds compared with HR-based thresholds (p < 0.05), with the largest differences observed during LSG. These findings suggest that SmO2 is more responsive to high-intensity, intermittent activity and may better reflect local muscular demand than HR. Incorporating SmO2 into training and match monitoring may enhance internal load assessment and support more individualized performance and recovery strategies.
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Herzog et al. (2026) studied this question.
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