The aim of this study was to apply non-linear techniques in the analysis of golf putting performance. How players adapt to the variability that emerges from the putting execution and how they self-organize their performance toward the task constraints was investigated. The sample consisted of 10 adult male golfers (33.80±11.89 years) who were volunteers, right-handed and experts (10.82±5.40 handicap), including the European champion of pitch and putting (season 2012/2013). The putting movement was analysed using auto tracking methodologies by autonomously comparing the current frame with the previous frame using a MatLab software program. The results indicated that golf putting performance can be described as a non-linear, stable and regular system in which each player discovers active solutions to overcome the constraints of the task. It was concluded that non-linear techniques, like approximate entropy and Lyapunov exponent are extremely useful for analysing human movement within a sport context. Key words : Non-linearity; Variability; Golf putting; Motor control; Performance.