Background: Accurate prediction models for the survival probability of grafts before surgery are lacking. We aimed to develop an effective prognostic model for allograft survival after pediatric liver transplantation. Methods: In this retrospective study of >2032 recipients of liver transplantation (median [interquartile range] age: 8 months [6–17 months]) at the Renji Hospital affiliated with the Shanghai Jiaotong University School of Medicine from 2006 to 2019, a nomogram was developed using Cox regression and validated based on bootstrap sampling. The predictive and discriminatory accuracies of the nomogram were determined using the concordance index (C-index) and visualized using calibration curves; net benefits were calculated for model comparison. An online Shiny application was developed for users to easily access the model. Findings: The multivariate analysis demonstrated the following independent factors for survival: preoperative diagnosis, recipient’s age, body weight, graft type, preoperative total bilirubin, interleukin-1β, portal venous blood flow direction, spleen thickness, and the presence of heart disease and cholangitis, all of which were selected in the nomogram. Calibration of the nomogram indicated that the 1-, 3-, and 5-year predicted survival rates were in agreement with the actual survival rate. The respective C-indexes for graft survival at 1, 3, and 5 years were 0·776, 0·757, and 0·753, respectively, which were significantly higher than those of the pediatric end-stage liver disease (0·548, 0·546, 0·544) and Child–Pugh (0·617, 0·618, 0·615) scoring systems. The total allograft survival after pediatric liver transplantation (ASPELT) scores were calculated from each covariate in the nomogram; the allograft dysfunction risk of a recipient could be easily evaluated (https://aspelt.shinyapps.io/ASPELT/). Interpretation: The ASPELT score model can effectively predict the graft survival rate after liver transplantation in children, providing a more simple and convenient evaluation method for clinicians and patients. Funding Statement: The study was supported by the National Natural Science Foundation of China (grant number 81700570). Declaration of Interests: All authors declare no competing interests. Ethics Approval Statement: This study was approved by the Ethics Committee of Renji Hospital affiliated with the Shanghai Jiaotong University School of Medicine, and informed consent was obtained.