The article is discussed to the analysis of ESG rating factors, profitability and risk in relation to global ETFs. The hypothesis under study is that global ETFs with a maximum ESG rating are heterogeneous in terms of systematic risk level. Based on the FOREL clustering algorithm, two ETF clusters are identified. Thus, an investor, having a priority maximum ESG rating and a certain level of β-coefficient, can select any object from the cluster, since all ETFs in the cluster are similar in level of systematic risk.