Prediction of long-term neurodevelopmental outcome following post-asphyxial hypoxic ischemic encephalopathy can assist in the selection of patients for neuroprotective therapy trials and counseling families. A logistic regression model was developed from available clinical and biochemical data within the first 4 hours after birth. Of 375 patients, 345 had follow-up data. Six statistically significant independent predictors for "severe adverse outcome" were identified: administration of chest compression for >1 minute, administration of epinephrine, age of first respiration ≥30 minutes, presence of seizures/coma before 4 hours of age, standardized base deficit at the age of sampling, and birth following cesarean section. The prediction success rate of the model was 73.2%. For "severe adverse outcome" the sensitivity, specificity, positive predictive value, and negative predictive value were 89%, 41%, 76% and 63% respectively. Model diagnostics, residual analysis and internal validation revealed that the model was robust. Further research involves an external validation of this model.