基于大数据分析的高校足球运动员精准性体能训练策略研究  

Research on Precision Physical Training Strategy of College Football Players Based on Big Data Analysis

作　　者：刘万博 张天煜 钱坤[1] LIU Wanbo;ZHANG Tianyu;QIAN Kun(College of Sports Science,Shenyang Normal University,Shenyang,Liaoning Province,110034 China)

机构地区：[1]沈阳师范大学体育科学学院,辽宁沈阳110034

出　　处：《当代体育科技》2025年第2期23-25,共3页Contemporary Sports Technology

基　　金：2024年度辽宁省体育科学学会规划课题(项目名称:辽宁省青少年足球后备人才高质量培养体系的构建研究,项目编号:2024LTXH071);2024年辽宁省体育科学学会课题(项目名称:基于体育精神传承与挖掘研究——以口述沈阳足球史为对象,项目编号:SY20240224Y)。

摘　　要：该文聚焦于大数据技术在高校足球训练中的应用,以探索高校足球运动员精准性体能训练策略为视角。通过对高校足球运动员体能训练现存问题的深入分析,设计了精准性体能训练计划,并提出了相应的实施策略。其目的在于提升高校足球运动员体能训练的水平,为推动高校足球运动的发展提供科学依据和实践指导。研究表明,基于大数据分析的高校足球运动员精准性体能训练策略主要包括:以大数据为保障,促进高校足球运动员体能水平的提升;发挥大数据的技术优势,提高运动员实战体能的合理运用;健全大数据管理体系,加强高校足球运动员的伤病预防。This research focuses on the application of big data technology in college football training,exploring strategies for precise physical training of college football players from the perspective of precision.By deeply analyzing the existing problems in physical training of college football players,a precise physical training plan is designed,and corresponding implementation strategies are proposed.The purpose is to provide scientific basis and practical guidance for improving the physical training level of college football players and promoting the development of college football.Research has shown that precise physical training strategies for college football players based on big data analysis mainly include:Use big data as a guarantee to promote the improvement of the physical fitness level of college football players;Utilize the technological advantages of big data to improve the rational use of athletes'practical physical fitness;Establish a sound big data management system and strengthen injury prevention for college football players.

关 键 词：大数据分析 精准性体能训练 高校足球运动员 训练策略 

分 类 号：G843[文化科学—体育训练]