Objective To investigate the risk factors for the occurrence of lymphatic cysts after robotic laparoscopic endometrial cancer and construct relevant prediction models to provide a reference for the prevention of lymphatic cysts after surgery. Methods A total of 238 endometrial cancer patients admitted to our hospital from March 2018 to December 2020 were selected as the research objects, and they all performed robotic laparoscopic surgery for endometrial cancer. Single factor and multivariate Logistic regression analysis were used to analyze the risk factors of lymphatic cysts after robotic laparoscopic endometrial cancer and construct a predictive model. Results 75 cases of lymphatic cysts occurred after operation, 163 cases did not occur, and the incidence rate of lymphatic cysts after operation was 31.51%. Univariate analysis showed that there were statistically significant differences in FIGO staging, drainage mode, serum albumin level, number of lymph node dissections, postoperative 24 h drainage volume, postoperative chemotherapy and / or radiotherapy between the two groups (P<0.05). Multivariate analysis showed that FIGO staging, drainage mode, serum albumin level, number of lymph node dissections, drainage volume at 24 h after operation, postoperative chemotherapy and/or radiotherapy were independent influencing factors for lymphocele after robotic laparoscopic surgery for endometrial cancer (P<0.05). The prediction model of lymphatic cyst after robotic laparoscopic surgery for endometrial cancer is Logit(P)=-2.578+1.035X1+1.759X2-0.264X3+1.952X4+2.041X5+1.528X6. The area under ROC curve predicted by the model was 0.921 (95%CI :0.908~0.984)，the sensitivity was 91.20%，and the specificity was 87.40%. The goodness of fit test showed that χ2=8.312 (P>0.05). Conclusion FIGO stage, drainage mode, serum albumin level, number of lymph node dissection, drainage volume 24h after surgery, postoperative chemotherapy and/or radiotherapy were independent influencing factors for lymphocyst after robotic laparoscopic surgery for endometrial cancer. The prediction model constructed based on these factors had good discrimination and calibration, which could effectively evaluate the risk of lymphocyst after surgery.