Despite the development of excellent techniques for predicting multiples such as convolution based or wavefield extrapolation based approaches, subtracting multiples in the data using the predicted multiples still remains as a challenge. The difficulty stems from the fact that many existing techniques try to match the predicted multiples to the multiples in the data by either adaptation or pattern matching. Because the prediction techniques mentioned above change the waveform of the predicted multiples, it will be very difficult to perfectly match the waveform of the predicted multiples to that of the multiples in the data. We report a new technique for subtracting the multiples using the attributes of the predicted multiples to determine the multiples in the data without any matching process. We illustrate the technique using a synthetic data set and show 3-D field data examples.