Gas atomization is a key process for producing metal powders with spherical morphology, suitable for Additive Manufacturing technologies. This study introduces a statistical approach for the development of a predictive model for estimating the median particle size (D₅₀) in close-coupled gas atomizers, comparing it with existing physical models. The statistical model is based on data collected from 67 inert gas atomizations performed in a VIGA system using argon as the atomizing gas. The effect of the process parameters was investigated in terms of gas temperature and pressure, melt temperature and flow rate. The Particle Size Distribution (PSD) was characterized both via laser diffraction analysis (Malvern Mastersizer) and image analysis (Camsizer).