The article discusses all the methods of forecasting of deposit characteristics in analytical block, used in the copper-ore mines situated in Legnica-Głogów copper region. The forecasting is made with the help of computer software worked out at Polish Academy of Sciences Mineral and Energy Economy Research Institute. Basis of the forecasting are deposit parameters calculated for the drill sampIes drawing from inside on some from close neighbourhood outside of analytical block zone. Results of deposit parameter analysis can be used in various technical and economical analyses - particularly during balancing of resources. The outcomes of analysis can also be used during delimiting of relatively homogeneous parts of the deposit for stoping planning. The article depicts a range of all forecasting deposit parameters and applied methods of forecasting, namely: method of slicking, method of averages and geostatistical method, particularly block kriging. Methods of slicking and averages do not take into consideration spatial distribution of drill sampIes in the block area. It is assumed that parameter value is a random variable with unknown statistical distribution. In the method of slicing averaging profile of deposit is constructed. That is a base for forecasting of deposit parameters in the block. In the method of averages a forecast of the value of parameter consists in sample taking and estimating of expected value of parameter with arithmetic average. The sample is the set of values of parameter of drill sampies, taking from inside of from close neighbourhood outside of the block. The only method, which takes into account spatial distribution of drill sampIes inside of block area and its neighbourhood as well, is the geostatistical method. The method assumes that parameter values in drill samples, Iying close cach other are correlated. In the article has been presented an outline of methods above-mentioned against of the background of implemented computer systems. There have been also discussed the advantages and shortcomings of these methods, and circumstances of their implementation as well.