Cognitive Neurophysiologic synchronies (NS) are the quantitative co-expression of a particular neurophysiologic measure across members of a team. Our goal is to use NS expression to develop systems that can rapidly determine the functional status of a team to be better able to assess the quality of a teams' performance / decisions, and to adaptively rearrange the team or task components to optimize the team. One of the challenges in this effort is the development of standardized models of NS expression that can be used with incoming EEG data streams to avoid the need for single-trial modeling. In this study we show how such models can be built for teams of three to six members and validate the approach for neurophysiologic measures of engagement (EEG-E) and workload (EEG-WL). These models were used to compare NS expression across teams, training sessions and levels of expertise. They have also been incorporated into software systems that can provide for rapid (minutes) after training feedback to the team and provide a framework for future real-time monitoring.