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DEVELOPMENT OF A STATISTICAL MODEL FOR RATING MANAGEMENT IN COMPETITIVE PROCESSES USING THE RATIO OF PERFORMANCE INDICATORS

Yushkin Vladislav Nikolaevich  (Candidate of Technical Sciences, Volgograd State Agrarian University )

Marchenko Sergey Sergeevich  (Candidate of Technical Sciences, Associate Professor, Volgograd State Agrarian University )

Strizhakova E.   (Candidate of Agricultural Sciences, Associate Professor, Volgograd State Agrarian University )

Penkova R.   (Candidate of Agricultural Sciences, Associate Professor, Volgograd State Agrarian University )

This paper presents a statistical model for calculating team ratings in competitive processes based on an analysis of their game performance. The model uses the ratio of normalized parameters – the average number of goals scored and conceded by teams – to form an integral rating that allows predicting the outcome of the match. The use of a statistical model based on normalized performance indicators of teams, such as the average number of goals scored and conceded, will help to more accurately predict the results of matches and make it possible to more objectively assess the ratings of participants in competitions. The proposed approach belongs to the class of mathematical management models in organizational systems and can be used in the tasks of analyzing sports tournaments, as well as in project management. The effectiveness of the model was assessed by the degree of coincidence of the predicted match results with the actual outcomes. The accuracy obtained was 66.113%, which confirms the high adequacy of the proposed approach.

Keywords:statistical model, rating, organizational system, outcome forecasting, management effectiveness

 

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Citation link:
Yushkin V. N., Marchenko S. S., Strizhakova E. , Penkova R. DEVELOPMENT OF A STATISTICAL MODEL FOR RATING MANAGEMENT IN COMPETITIVE PROCESSES USING THE RATIO OF PERFORMANCE INDICATORS // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 179-184 DOI 10.37882/2223-2966.2026.01.40
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