The invention discloses a method for forecasting evenly distributed live data, comprising the following six steps of: step I, removing average value; step II, finding out a large number; step III, processing trend; step IV, forecasting gray GM (group mark) (1, 1); step V, restoring the data; and step VI, evaluating the error. The method is based on the gray GM (1, 1) model, the input data is featured with smooth growth by subjecting to equalization and delta transformation treatment, the forecasting purpose is achieved by means of GM (1, 1), and the data is finally restored to obtain the prediction data. The method for forecasting evenly distributed live data has the advantages that the design is scientific, the calculation is simple, the work capacity is low, the forecast accuracy is high; the method in the technical field of system reliability analysis has good practical value and wide application prospect.