Altogether, attaining a reliable description of the structural and dynamical properties of liquid water through lower rung (1-3) DFT models remains an issue. The goal of this work is consequently to contribute further understanding to this endeavor by incorporating the popular Minnesota density functionals into the array of approximations tested on water at ambient conditions. While having demonstrated success for molecular systems, previous investigations of the performance of Minnesota functionals on condensed water are, to our knowledge, limited to the work of Del Ben et al. who ran MC simulations on water with the M06-L-D3, M06-D3, and M06-2X-D3 functionals , and the work of Pestana et al. that focuses on MD with M06-L-D3 140 . Our work thus fills a gap in the evaluation of the performance of DFT functionals for liquid water. Gaining insights from the performance of various functionals not only helps demystify their promise and limitations for water, but also on a wider range of systems exhibiting a similar delicate balance of interactions such as e.g., in large biomolecules , heterogeneous catalysts , aqueous solutions and molecules on surfaces 158 . For this reason, we have made an effort, albeit not exhaustive, to compile in this document previously calculated quantities from DFT-based MC and AIMD. Our aim is to establish a common ground for comparing various studies found in the literature and confront them with experimental measurements.