The Russian national football team is presently ranked number 60-65 in the FIFA Coca Cola and www.ra-first.ru rankings. The team still faces problems of the individual player`s performance ratings and national team formation that have always been critical since 1960ies and are still addressed in statistics of the individual technical and tactical actions. The statistics, however, still shows poor if any correlation with the actual team competitive performance; and the above problems are still most effectively solved by the expert/ coach assessments. The football data processing model (DPM) we analyze and offer hereiun is more efficient than the traditional discretional decision-making models for it takes full advantage of the IT technology application in the modern sport design and management process. Inputs for the football data processing model basically include the individual win-to-loss ratios (`balances`) in game contacts for the Russian Football Super League players produced by analysis of 60 game elements. The individual game ratios were processed by a system of linear equations (SLE) to produce the players` ratings classified by game elements; with an option of the ratios and ratings being computed for every upcoming match. The model gives the means to find the following: best team composition for a match as required to successfully compete with the opposing team; line-up of the team based on the individual contacts win-to-loss statistics; players` substitutions and repositions over the match time; recommended numbers of the game contacts for every player in every game element; and the potentially most advantageous combinations as recommended by the database.
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