The article introduces the reader to the functionality of the Dilsi LCMS system in ranking the academic performance of students and is devoted to the problem of using digital technologies in calculating the rating. Recently, students' interest in learning has been declining. Determining the rating of students in the group contributes to solving this urgent problem. The place occupied in the rating encourages the student to get ahead of his own kind, to become a leader in this field of activity. A review of the literature on the topic showed that there is currently dissatisfaction with the current point-rating systems of universities, where ranking is difficult to determine, due to the formalism and complexity of the corresponding calculations. The analysis of the sources confirms the hypothesis about the mechanistic transfer of foreign models to our universities, without observing the principles of functioning laid down in them. The purpose of the study is to propose automation of calculating the reliable ranking of students in a group. Such research methods as a systematic approach, statistical approach, logical and structural analysis were used. As a result of the research, the author came to the conclusion that the task is effectively solved on the basis of digital data of student learning in the LCMS system.