This paper evaluated the potential for brownfield regeneration in the Czech Republic using a multi-criteria decision analysis (MCDA) framework. A set of ten quantitative and qualitative criteria was established, including ownership structure, previous land use, site area, and accessibility to key infrastructure. Each criterion was first normalized. Then, weights were assigned based on its relevance to regeneration. MCDA scores were calculated for all NUTS 3 regions. This enabled a comparison of their redevelopment readiness. The Ústí nad Labem Region achieved the highest score, followed by the Moravian-Silesian and Liberec Regions, primarily due to a combination of public ownership, high brownfield density, and transport accessibility. Pearson correlation coefficients confirmed the dominant role of site count, former land use, and public ownership in influencing regeneration potential. Conversely, overall infrastructure distance had a weaker correlation with readiness. The results provide a data-driven and transferable framework to support regional planning and brownfield policy development.