MANETS are randomly distributed self configurable networks used in an ad-hoc fashion. Due to its increasing network data, load balancing becomes an unmanageable aspect in these networks. Various load balancing techniques though have been proposed; Random, Scheduling and Evolutionary load balancing models differentiates and allocates the load into different levels, providing a maximum network manageable load and non-distortable nodes in the network. Game Theory too is being stormed in QoS parameters like throughput and delay when handling a maximized load. We propose an Enhanced Co-Operative Game Theory (ECGT) based random stage based algorithm for load balancing to save the node from distortion at an earlier stage and can able to reduce the network delay. This co-operative random scalable GT minimizes the loss factor. Besides, an distributed Nash equilibrium approach, we can determine the amount of load the network can handle before it actually reaches the lowest level.Keywords-load balancin g , Manet, ECGT, Nash equilibrium, contention ener g y aware routin g , super nodes I.