FINANCIAL VALUE OF UKRAINIAN PREMIER LEAGUE CLUBS IN RELATIONSHIP WITH FOOTBALL MIGRATION INDICATORS

Introduction. Indicators of financial and economic support and migration of football players create preconditions for the formation of a highly competitive sports environment in professional football clubs and in the Ukrainian Premier League. The aim of the study is to analyze the quantitative indicators of migration of football players in the Ukrainian Premier League in relation to the financial and economic support of professional football clubs and to systematize the results. Materials and methods: analysis and generalization of data of scientific and methodical literature sources and the Internet, pedagogical observations, content analysis of materials of official sites of professional football clubs of the Ukrainian Premier League, official sites of the Ukrainian Football Association and the Ukrainian Premier League, methods of mathematical statistics. Results. The relationship between the financial value of Ukrainian athletes and migrant footballers, who are declared in the competition of the Ukrainian Premier League of the season 2021-2022, is analyzed. Conclusions. Analysis of the financial value of professional football clubs of the Ukrainian Premier League in relation to the migration of football players allows us to state that the leaders of the sports rating are the most financially capable teams: «Shakhtar» (Donetsk) and «Dynamo» (Kyiv), with a total the transfer value of the players is € 179,700,000 and € 136,100,000 respectively. The average cost of a migrant player in the leading professional football clubs of the Ukrainian Premier League «Shakhtar» (Donetsk) is 8,800,000 €, «Dynamo» (Kyiv) ‒ 3,420,000 €. Analysis of the transfer value of domestic athletes and migrant footballers in the application letters of the Ukrainian Premier League shows the absence of direct and inverse linear relationships, which suggests the presence of complex multilevel dependencies that require processing by more complex mathematical and statistical methods and preliminary grouping of available experimental data