Accurately predicting key reference points on the axial stress-strain curve of fiber-reinforced polymer (FRP)-confined concrete is of great importance for the pre-design and modeling of structures manufactured with this composite system. This paper presents a detailed study on the development of accurate and practical expressions for predicting the ultimate condition and transition point, as key reference points, on axial stress-strain curves of FRP-confined concrete using generic programming (GP). A comprehensive data tuning and cross-validation analysis was firstly performed to develop prediction models. Afterwards, the accuracy and performance of the developed empirical expressions were examined by sensitivity analysis, parametric analysis and model validation. Finally, a comparison was made between the performance of these proposed expressions and that of the existing best-performing expressions in the literature using statistical analysis. Based on the sensitivity and parametric analysis of the database, it is shown that: compressive strength ( f’ cc ) and axial transition strain ( ɛ c1 ) are more sensitive to FRP lateral stiffness ( K l ); ultimate axial strain ( ɛ cu ) is more sensitive to K l -to-unconfined compressive strength ( f’ co ) ratio and fiber ultimate tensile strain ( ɛ fu ); hoop rupture strain ( ɛ h,rup ) is more sensitive to fiber elastic modulus ( E f ); and axial transition strength ( f’ c1 ) is more sensitive to f’ co . It is also shown that the proposed expressions provided more accurate predictions of the ultimate condition and transition point on the axial stress-strain curve of FRP-confined concrete than the existing expressions. This was achieved by using a larger number of datasets and accurately capturing the effects of the most influential input parameters in the proposed expressions.