Glossy surface reflectance is hard to model accuratley using traditional parametric BRDF models. An alternative is provided by data driven reflectance models, however these models offers less user control and generally results in lower efficency. In our work we propose two new lightweight parameteric BRDF models for accurate modeling of glossy surface refllectance, one inspired by Rayleigh-Rice theory for optically smooth surfaces and one inspired by microfacet-theory. We base our models on a thourough study of the scattering behaviour of measured reflectance data from the MERL database. The study focuses on two key aspects of BRDF models, parametrization and scatter distribution. We propose a new scattering distributuion for glossy BRDFs inspired by the ABC model for surface statistics of optically smooth surfaces. Based on the survey we consider two parameterizations, one based on micro-facet theory using the halfway vector and one inspired by the parametrization for the Rayleigh-Rice BRDF model considering the projected devaition vector. To enable efficent rendering we also show how the new models can be approximatley sampled for importance sampling the scattering integral.