To explore the high-risk factors affecting placental accrete, to construct a predictive model of placenta implantation, and to verify effect of the predictive model. Methods: The clinical data of 190 women with placenta implantation from December 2015to December 2020 were analyzed retrospectively, and these women were included in study group. Another 200 puerpera without placenta implantation were included in control group during the same period. Single-factor and multi-factor Logistic regression analysis were performed to determine the independent risk factors affecting the occurrence of placenta implantation. R3.6.3 software was used to construct the model diagram for predicting the occurrence of placenta accretes. ROC curve was drawn to verify the discriminative degree of the predictive model for placenta implantation. A calibration curve was drawn to verify the consistency of the predictive model for the occurrence of placenta implantation. Results: The occurrence of placenta implantation of the women was associated with their age, number of births, history of abortion, history of cesarean section, placenta previa, and IVF-ET. And age, history of abortion, history of cesarean section, placenta previa, and IVF-ET were the independent risk factors affecting placenta implantation (P<0.05). The predictive model score showed that, the score of the women increased by 8.33 points for every 2 years old increasing, the score of the women with a history of miscarriage was 42.50 points, the score of the women with a history of cesarean section was 57.50 points, the score of the women with placenta previa was 45.50 points, and the score of the women after IVF-ET was 80.50 points. Hosmer-Lemeshow test showed that goodness of fit was 6.765 (P=0.562). The area under the ROC curve of the predictive model for placental implantation was 0.789 (95%CI=0.744-0.834). The slope of the calibration curve of the predictive model to verify the occurrence of placenta implantation was close to 1. Conclusion: The predictive model diagram constructed in this study for placenta implantation has some guiding significance in individualized prenatal predicting placenta implantation.