The probability density functional method is an analytical method that expresses dirt adhesion force by a standard normal distribution and the cleaning force by a normal distribution using σ_rl and µ_rl. Cleaning experiments with various commercially available detergents and alkaline agents were conducted using various soiled fabrics, and the results were analyzed by the probability density functional method. The σ_rl was calculated from 5 minutes×4 times washing. Subsequently σ_rl was fixed and µ_rl of 20 kinds of detergents was obtained. As a result, the detergency of iron oxide, carbon black, and an oil dye had a positive correlation with the surfactant concentration, but had a negative correlation with the surface tension, and the detergency of hemoglobin soiled fabric and that of artificially soiled fabric had a positive correlation with pH. Therefore, the probability density functional method can be a useful tool for understanding the characteristics of the cleaning performance of commercial detergents.