<p>The analysis of mine pressure law is very important for the safe mining of deep super-long gangue backfilling face. In this study, combined with on-site monitoring, numerical simulation and other means, the law of mining pressure appearance in deep super-long gangue backfilling face was analyzed, and a multivariate nonlinear regression model between the main control factors and the characterization index of mine pressure appearance was established. The sensitivity ranking of the main control factors was determined. The results show that the advanced influence range of super long face gangue backfilling mining is much larger than that of shallow short face backfilling mining. The difference of support resistance in the upper, middle and lower areas of backfilling face is not obvious, which is significantly different from that of caving mining. The correlation coefficient square ( R² ) of multivariate nonlinear regression equation was greater than 0.99, and the fitting effect was good. The sensitivity of the maximum subsidence of the immediate roof is most influenced by backfilling rate, followed by advancing distance, face length, and overburden depth. The research results provide theoretical support for breaking through the 300&#xa0;m barrier in subsequent deep in-situ gangue backfilling mining face lengths.</p>