Technology in sports has had great impact during the last two decades. A lot of time, human power and cost are involved in existing batting research methods. The reliability and usefulness of these outcomes is prone to error and dependent on the human ability. In this project, miniature, inexpensive, user and match-friendly inertial sensors were used to extract the cricket bat swing features. The data was validated through existing tools. The object of this work was to demonstrate that accelerometers offer significant advantages in cricket batting analysis. Experimental and theoretical work involved ball free and ball-hit swing profiles. Bat swing was analysed using accelerometer sensors and was validated using a rigid pendulum. Good agreement was obtained between the measured angles by inclinometer and static sensor (r=0.99), and between the swing angles estimated from equation and dynamic sensor (r=0.88). Hits on the pivot arm showed the optimum contact location to maximize the energy transfer to the ball. A non-linear pendulum equation with moving pivot was solved numerically to model for swing angles in straight drive. The derived equation showed good agreement with the acceleration data (r=0.91). The effect of initial angular velocity, the radius of rotation and phase angle of the pivot on the acceleration profile were strongly correlated with the maximum acceleration peak (r≡0.99).