The prognostic accuracy of exercise testing after myocardial infarction is low, and different models have been proposed to enhance the predictive value for subsequent mortality. This study tested a simple score against 3 established scores. Patients with ST-elevation myocardial infarctions were randomized in the Danish Trial in Acute Myocardial Infarction-2 (DANAMI-2) to either primary percutaneous coronary intervention or fibrinolysis with predischarge exercise testing. Clinical and exercise test data were collected prospectively and were available for 1,115 patients. A simple score was derived, awarding 1 point for history or new signs of heart failure, 1 point for a left ventricular ejection fraction <40%, 1 point for age >65 years in men and age >70 years in women, and 1 point for exercise capacity <5 METs in men and exercise capacity <4 METs in women. This DANAMI score was compared with the Veterans Affairs Medical Center score, the Duke treadmill score, and the Gruppo Italiano per lo Studio Della Sopravvivenza nell’Infarto Miocardico-2 (GISSI-2) score in multivariate Cox models and receiver-operating characteristic plots. All scoring systems were predictive of adverse outcomes. The DANAMI score performed better, with greater chi-square values (142 vs 53 to 88 for the prediction of death). Areas under the receiver-operating characteristic curves were compared and were larger for the DANAMI score (C-statistic 0.79 vs 0.71 to 0.74 for the other tests regarding mortality). The DANAMI score stratified patients into a small high-risk group (8% of the population with 43% mortality in 6 years), an intermediate-risk group (13% with 16% mortality in 6 years), and a low-risk group (79% with 4% mortality in 6 years). In conclusion, a simple exercise test score composed of age, METs, heart failure, and a left ventricular ejection fraction <40% seems to outperform the Duke treadmill score, Veterans Affairs Medical Center score, and GISSI-2 score in risk stratifying patients after myocardial infarction and deserves further evaluation.