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    Using machine learning to determine the positions of professional soccer players in terms of biomechanical variables
    (Sage Publications Ltd, 2023) Yağın, Fatma Hilal; Hasan, Uday C. H.; Clemente, Filipe Manuel; Eken, Özgür; Badicu, Georgian; Gülü, Mehmet
    This study aimed to predict professional soccer players' positions with machine learning according to certain locomotor demands. Data from 20 male professional soccer players (five defenders, eight midfielders, and seven attackers) from the same team were tracked daily with a global navigation satellite system. A total of 1910 individual training sessions were recorded. The 10-fold cross-validation method was used. Soccer player positions were predicted using predictive models created with random forest (RF), gradient boosting tree, bagging classification, and regression trees algorithms, and the results were evaluated with comprehensive performance measures. Ratios and an importance plot were used to analyze the importance of the variables according to their contributions to the estimation. The findings show that the RF model achieved 100% accuracy, which means that RF can predict all player positions (100%). Running distance (26.5%), total distance (17.2%), and player load (15.8%) were the three variables that contributed the most to the estimation of the RF model and were the most important factor in distinguishing player positions. Consequently, our proposed machine learning approach (RF model) can reduce false alarms and player mispositioning.
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    Warm up with music and visual feedback can effect Wingate performance in futsal players
    (Bmc, 2022) Bayrakdaroglu, Serdar; Eken, Özgür; Yağın, Fatma Hilal; Bayer, Ramazan; Gülü, Mehmet; Akyıldız, Zeki; Nobari, Hadi
    Purpose: Visual feedback and music while warm up may help elicit peak performance, but its effect during the Wingate anaerobic test (WAnT) in futsal players is unexplored. Therefore, the aim of this study was to examine the effects of music and visual stimulus on WAnT performance in futsal players. Methods: The study included 17 young male futsal players (age, 21.53 +/- 1.32 years; height, 177.59 +/- 5.75 cm; 73.71 +/- 9.31 kg; BMI 23.342 +/- .47). The WAnT was administered using three distinct protocols: with music (M), without music (NM), and with music and visual feedback (MV) following a 10-min warm-up at 72-h intervals. After WAnT, the following parameters were evaluated: (a) peak power output: PPO (W), (b) relative peak power output: RPPO (W/kg), (c) mean power output: MPO (W), (d) relative mean power output: RMPO (W/kg), (e) fatigue index: FI (%), and (f) minimum power output MIPO (W). Results: MV indicated that futsal players' WAnT values, including PPO, RPPO, MPO, RMPO, and MIPO improved more than with other protocols (p < 0.05). However, there was no significant difference between protocols for FI (%) WAnT values (p > 0.05). Conclusions: Listening to music and watching visual feedback while warm up before performing WAnT performance suggest to coaches and futsal players.