Zoran Pajić, Slobodan Simović, Milivoj Dopsaj

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Each process of efficient management of an athlete’s condition entails proper diagnostics, prognostics, and modelling by measuring gathered information. This study aims to come up with a standardized mathematical model for assessing the physical condition of young football players in relation to planned and programmed agility. This study implemented the mathematical modelling method for the general profiling of the evaluated motor capacity, in order to obtain a tool for classifying the condition of an individual in relation to the population standard. This study applied planned and pre-programmed motion patterns to test the capacity of planned agility using six variables: 3 original and 3 calculated. All the original variables underwent mathematical transformation in relation to the multiscale modelling of Z-distribution, so that all the results have been transformed into an analogous result in the range between 0, as the distribution minimum, and 100, as the distribution maximum. This produced analogous quantitative, i.e. numerical values of the score, i.e. the distributive position of each result in relation to the tested age group. The defined mathematical models for the prediction of the level of development of the measured agility type do not only have absolute, but also hypothetical potential for determining the relative position of each young player in relation to their age population. The proposed models have strength at the level of absolute explained common variance (Adj R2 = 1.000, i.e. 100.0% of the explanation) with a marginal standard error of prediction (only 0.003 points). Processing diagnosed information in such a way makes it possible to precisely define the initial, transit, and final condition of the athlete, programming an efficient, optimized and quality training process, as well as proper identification of talents in selecting young athletes.


diagnostics, planned agility, modelling, prediction, standardization

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