Abstract: Objective To develop a well-screened and convenient Patellofemoml Pain (PFP) assessment tool and evaluate its effect. Methods Totally 126 patients with PFP and 126 healthy controls matched by sex and age were enrolled in the study. The participants were tested for plantar force and pressure when level walking and there were twelve regions of plantar divided and recorded. The data of two categories of variables, peak force and peak pressure of the 12 regions, were analyzed by conditional logistic regression (CLR) analysis in sequence to produce odds ratios (ORs) and 95% confidence intervals. The validity of the prediction models was compared by the area under the receiver-operating characteristic curve (AUC). All statistical tests were two-tailed and the final level of significance was set at 0.05. Results The predictor variables of PFP risk assessment model was peak force of lateral heel, while the AUC was 0.833 (p＜0.001). Another risk assessment model was peak pressure of medial heel, middle foot, 1st metatarsal head and 2nd metatarsal head, while the area under the AUC was 0.928 (p＜0.001). Conclusion Peak force and pressure of different plantar regions can be used to assessment PFP and the latter may be determined to be more effective.