In this study, the focus has been on the wave power generation performance of four different potential Wave Energy Converters (WECs) to be deployed on the Black Sea coast. Performance analysis was conducted using four statistical indicators (capacity factor, capture width, dimensionless normalized wave power, and persistence availability index). The data required for the study were extracted from a data set generated based on the calibrated wave prediction model SWAN (Amarouche et al., 2021) for the years 1979-2022. Using this data set, the probabilities of wave occurrence for different significant wave height and wave period ranges were first determined for each station to analyze the performance of the WECs. These wave height/wave period matrices were associated with the power matrices of different WEC systems to determine how much energy conversion they would provide. As a result, it was determined that the highest energy flux and dimensionless normalized wave power parameter in the studied systems were in the southwest of the Black Sea. The maximum energy flux (2000 MWh), capture width (40m), and persistence availability index (2500) were observed in the Pontoon system. The capacity factor was found to be highest in the AquaBuOY system, reaching a maximum of around 7%.