Background: The purpose of this research was to establish prediction model of fetal distress risk and admission to neonatal intensive care unit(NICU) risk in a Chinese population of patients with fetal growth restriction(FGR), to provide a reliable basis for clinical management. Methods: A retrospective analysis of 930 patients were delivered with FGR in the obstetrics and gynecology hospital affiliated from January 1, 2014 to December 30, 2019 at Women’s Hospital, School of Medicine, Zhejiang University, in Hangzhou, and screened out the independent predictors affecting fetal distress and admission to NICU using lasso regression. Multivariable logistic regression analysis was used to establish the nomogram prediction model of fetal distress risk and admission to NICU risk. Discrimination of the predicting model was assessed by the C-index and receiver operating characteristic (ROC) curve, using the bootstrapping validation and the ROC curve to evaluate the Internal validation. Calibration and clinical usability of the predicting model were respectively adopted by calibration curves and decision curve analysis. Internal validation was assessed using the bootstrapping validation. Results: We found that six identified factors associated with fetal distress of patients with FGR: age, gestational week, delivery method, placenta previa, abnormal cord blood flow, and using low molecular weight heparin(LMWH). The application of LMWH during pregnancy could reduce the incidence of fetal distress. Four independent predictors were selected for admission to NICU of patients with FGR: gestational week, delivery method, hypertensive disorders of pregnancy, and intrahepatic cholestasis of pregnancy. The delivery method of cesarean section increased the above risks. Two nomograms were developed and verified accordingly. The two models had good discrimination and good calibration respectively. The decision curve analysis performed that the clinical usability and benefits of the nomograms were the range of 3%-75% and 17%-95%. Conclusions: Two nomograms were the first to predict fetal distress and admission to NICU of patients with FGR. Establishing effective predictive models based on independent predictors could help early diagnosis and evaluation of fetal distress and admission to NICU in patients with FGR.