The current study proposed a method for estimating biological movement variability in order to examine its effect on 10 m sprinting performance. Two 250 Hz cameras recorded the sprinters (male, n=10) action across four trials to enable the kinematics of their block start and initial strides to be obtained using motion analysis software (APAS). Infra-red timing lights were utilised to measure the 10 m sprinting times. The coefficient of variation (CV %) calculation was adjusted in order to separate biological movement variability (BCV %) from variability induced by measurement error (SEE %). This adjustment revealed that measurement error highly inflated traditional measures of movement variability (CV %) by up to 72%,. Variability in task outcome kinematics was considerably lower than that observed in joint rotation patterns. Few biological variability measures had a direct relationship with reduced sprinting time.
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