PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 9, 20240 citationsOpen Access

Exploring the Dynamics of Women's Field Hockey Performance: A Comparative Analysis of the Impact of Opponent Quality between Olympic Games and Chinese National Games

View Full Paper
KHKelin HuoXYXudong YangZZZiyu Zhang

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract This study analyzed the performance of the Chinese women’s national field hockey team during the 2020 Tokyo Olympics and 2021 National Games to assess the impact of opposition quality on performance. Game statistics were collected using notational analysis software for 76 Olympic and 40 National Games matches. Non-parametric Mann-Whitney U tests were used to compare tournaments. No significant differences existed for 35 out of 38 metrics, except Offense in 25-Yd Area (P = 0.013), Handball Style (P = 0.000) and Entry into Arc - Right Lane (P = 0.017). When exclusively considering Chinese national team’s observations, superior National Games performance did emerge for Shot (P = 0.046), Goal from Short Corner (P = 0.044), Into the Arc (P = 0.046), Entry into Arc - Q3 (P = 0.009), Dribble into the Arc (P = 0.046), Handball Style into Arc (P = 0.041), Forehand Shot (P = 0.033), and Small Skill Shot (P = 0.014). The study underscores the influence of opposition quality on team performance, with a need for targeted improvements in arc penetration efficacy, conversion rates of shots to goals, and adaptation of tactical approaches against stronger defenses. The research points towards the need for strategic high-performance programs, improved domestic league quality, and a structured youth development system to elevate the overall standard of Chinese field hockey to achieve global competitiveness.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Huo et al. (2024) studied this question.

synapsesocial.com/papers/68e6feb4b6db643587678a66https://doi.org/10.21203/rs.3.rs-4157444/v1
Ask AI
Helpful
Bookmark
Share
View Full Paper