Abstract: Spline and Overlap techniques are used for analyzing Satellite Laser Ranging (SLR) data. We applied the two techniques for fitting various SLR-data for 30 samples. It is found that the polynomial degree and the corresponding standard deviation of the two techniques are much better than that obtained when fitting the total number of data, in addition to a slight advantage for Spline technique over the overlap technique. However, it is found that about 11/30 samples represents that the overlap technique is better than the Spline technique which may refers to the distribution of the data points inside the interval. Furthermore, the effect of the satellite signatures on the fitting accuracy is investigated. The study clarified that the precision of the data fitting for the low signatures satellites are much better than those obtained for high signature satellites.