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This study is about providing a game based on enhanced projectile model and collision algorithm using Kinect Principle. It will focus on the application of the said algorithms in order to check their efficiency when applied to the objects inside the game namely the net and the garbage. The projectile model as applied inside the game will provide the necessary projectile motion of the garbage thrown so that the garbage will fall only inside the catching range of the net. The probability of the net catching the garbage is applied in the Collision detection algorithm where the areas of the garbage and net and the net's edge will be computed to find out if the garbage will be accepted by the net. The Kinect's body tracking and gesture recognition algorithms will track the gestures of the user as an input wherein the gestures will serve as the controller of the game.  However, the study will not cover the overall body tracking capability of Kinect. Onlyone of  the arms upper and lower arm (elbow), hands and the lower body (feet)  of the user will be tracked by the system while the rest of the user's body will not be recognized. Also, additional gestures not used in the game will be ignored and will not have an effect in the game play. Furthermore, the objects that will serve as garbage will always be solid; non-solid objects such as slimes and forms of liquid will not be included.