Over fifty years researchers developed an immense number of equations to estimate the soil-water characteristic curve (SWCC). CalcPTFs were developed early using a multi-modeling approach to estimate the parameters of both Brooks-Corey and van Genuchten equations with about 20 published pedotransfere PTFs. The goals of this study were to conduct a comprehensive performance evaluation of CalcPTF (14 PTFs), which were complied with the available data, using local soil located in a severe arid region. To examine the PTFs accuracy and model suitability, a set of statistical measurements was conducted including correlation coefficient (R), root mean square error (RMES), Nash-Sutcliffe efficiency (NSE), the ratio of RMSE to the standard deviation, Percent bias (PB), and Akaike Information Criterion (AIC). Despite high correlations results, other statistical criteria declared unsatisfactory results for all examined models with values ranging of RMSE between 0.077-0.149, NSE 0.117-0.612, RSR 0.608-1.175, PB -49.402 - 38.397. Substituting water saturation percentage θ_s, was estimated from CalcPTFs multi-modeling, with local estimated θ_s  exhibited significant improvement in SWCC estimation. The value of θ_s demonstrated high sensitivity among other parameters in Brooks-Corey and van Genuchten equations for estimating SWCC.