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  1. Situational and Positional Effects on the Technical Variation of Players in the UEFA Champions League.Qing Yi, Miguel-Ángel Gómez, Hongyou Liu, Binghong Gao, Fabian Wunderlich & Daniel Memmert - 2020 - Frontiers in Psychology 11.
  2.  62
    Differences in Technical Performance of Players From ‘The Big Five’ European Football Leagues in the UEFA Champions League.Qing Yi, Ryan Groom, Chen Dai, Hongyou Liu & Miguel Ángel Gómez Ruano - 2019 - Frontiers in Psychology 10.
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  3.  65
    The Validity and Reliability of Live Football Match Statistics From Champdas Master Match Analysis System.Bingnan Gong, Yixiong Cui, Yang Gai, Qing Yi & Miguel-Ángel Gómez - 2019 - Frontiers in Psychology 10.
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  4.  98
    Evolutionary Trends of Players’ Technical Characteristics in the UEFA Champions League.Qing Yi, Hongyou Liu, George P. Nassis & Miguel-Ángel Gómez - 2020 - Frontiers in Psychology 11.
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  5.  61
    The Influence of Technical and Contextual Variables of the Last Stroke on Point Outcome in Men’s and Women’s Singles Badminton.Yi Sheng, Qing Yi, Miguel-Ángel Gómez-Ruano & Peijie Chen - 2022 - Frontiers in Psychology 12.
    The purpose of this study was to identify the effects of the technical and context-related variables of last strokes in rallies on the point outcomes of both men’s and women’s players in elite singles badminton matches. A total of 100 matches during the 2018 and 2019 seasons were analyzed, and the data of 4,080 men’s rallies and 4,339 women’s rallies were collected. The technical variables including strokes per rally, forehand strokes, overhead strokes, and defensive action, and the context-related variables including (...)
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  6.  58
    Interactive Effects of Situational Variables Regarding Teams’ Technical Performance in the UEFA Champions League.Qing Yi, Jingyong Yang, Xinlei Wang, Yang Gai & Miguel-Ángel Gómez-Ruano - 2022 - Frontiers in Psychology 13.
    The aim of this study was to examine the interactive effects of situational variables on teams’ technical performance in the UEFA Champion League. Match data of 19 technical actions and events were collected and classified into three groups during eight seasons. Repeated-measures analysis of variance was used to identify the differences in the technical performances among teams. Results showed that the significant differences in the technical performance between the group stage and the knockout stage were only found in dribble and (...)
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