Objective To develop and validate a linear model to predict the factors and likelihood of postoperative hypotension in pheochromocytomas and paragangliomas（PPGLs）. Methods This study included 315 patients who underwent retroperitoneal tumor resection and were pathologically diagnosed with PPGLs from January 1，2011 to December 31，2023 at The First Affiliated Hospital of Chongqing Medical University. Demographic characteristics，comorbidities，disease features，use of α-adrenergic receptor antagonists，24-hour urinary vanillylmandelic acid levels，intraoperative data，and postoperative data were recorded for each patient. Patients with blood pressure lower than 30% preoperatively or requiring vasopressors postoperatively were assigned to the hypotension group. LASSO regression was utilized for feature reduction and selection，followed by multinomial logistic regression analysis to establish a predictive model. The performance of the predictive model was evaluated using receiver operating characteristic curves，calibration curves，and clinical utility assessments. Results Predictive factors included in the model were 24-hour urinary vanillylmandelic acid levels，use of α-adrenergic receptor antagonists，tumor size，and intraoperative blood loss. The model demonstrated good discriminative ability with a C-index of 0.882（95% confidence interval： 0.872-0.886） and excellent calibration performance with a receiver operating characteristic value of 0.88. Decision curve analysis indicated clinical utility. Conclusion This study presents a reliable predictive model for individualized preoperative prediction of postoperative hypotension in PPGLs patients，offering a basis for perioperative management and postoperative recovery strategies.