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Prediction of soccer clubs' league rankings by machine learning methods: The case of Turkish Super League

Abdullah Erdal TÜMER

The aim of this research is to predict league rankings through various machine learning models using technical and physical parameters. This study followed a longitudinal observational analytical design. The SENTIO Sports optical tracking system was used to measure the physical demands and technical practices of the players in all matches. Then, the data regarding the last three seasons of the Turkish Super League (2015-2016, 2016-2017, and 2017-2018), was collected. In this research, league rankings were estimated using three machine learning methods: Artificial Neural Networks (ANN), Radial ...Более

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The effects of physical characteristics on the fatigue level after repeated sprints in Turkish National Greco-Roman Cadet wrestlers

Mehmet TÜRKMEN

Evaluation of repeated sprints induced fatigue levels of Greco-Roman wrestlers according to their weight and height categories will help trainers in preparing athlete specific training programs. So this study aims to determine the effects of physical characteristics on the fatigue level of Turkish National Greco-Roman Cadet Wrestlers after 10 repeated sprints test (RST). The data were collected from 25 male wrestlers. Short sprint or reduction in sprint speed level was tested by RST. One way ANOVA was used for more than two groups. A Paired t-test was used for comparing of first two sprints to ...Более

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