Development of player selection in soccer based on physical fitness

Abstract

    The purpose of this study was to clarify the physical fitness related to selecting players for the regular player and to generate a method to objectively evaluate the selection probability of the regular player. The participants were 84 players of teams belonging to the Kanto University Football Association Division 2. All participants were compared in terms of the following items: 20-m run, 50-m run, shuttle run (10-m×5), agility test (STEP50), standing three-step jump, and Yo-Yo IR2. For statistical analysis, the physical fitness affecting the selection of players for the regular player were: speed (50-m run), agility (STEP50), power (standing three-step jump), and high-intensity intermittent running (Yo-Yo IR2). In addition, a regression formula was constructed to predict the selection by combining the odds ratios of the factors. The selection was accurately predicted using the regression formula (accuracy = 82.1%). We conclude that we determined a regression formula to predict the selection probability of players for the non-regular player with high accuracy.