This course explores the science and practice of elite football training, combining cutting-edge research with the applied methods of Real Madrid’s performance and medical teams. You will discover how to design, assess, and optimize football-specific training programs that balance performance development, injury prevention, and player availability. From testing and conditioning to strength, power, and monitoring systems, the course reveals how data and human insight come together to build resilient athletes.

Building Champions: Applied Sport Training for Football

位教师:Marisa Sáenz
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您将学到什么
Design and implement advanced strength, conditioning, and testing programs for elite football.
Apply monitoring and data-driven methods to enhance player performance and availability.
Integrate science, technology, and practical wisdom to optimize training throughout a season.
您将获得的技能
要了解的详细信息

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8 项作业
November 2025
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该课程共有4个模块
Uncover the art and science of performance profiling. This module covers foundational testing, needs analysis, and practical methods for assessing endurance and speed, equipping you to better understand, track, and enhance your players’ capabilities.
涵盖的内容
6个视频4篇阅读材料2个作业
Explore how targeted strength and power training underpins elite football performance. Learn best practices for assessment, program design, and real-world application to build more resilient, explosive, and effective athletes on the pitch.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
Delve into conditioning strategies that support match fitness and player availability. From core principles to effective drills and practical scheduling, this module provides the tools to create integrated and impactful conditioning programs for all playing positions.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
Master the use of modern monitoring systems to inform decision-making and reduce injury risk. Discover how to leverage tracking technologies and translate key data into actionable insights—ensuring your players stay healthy, available, and performing at their best.
涵盖的内容
6个视频3篇阅读材料2个作业1个讨论话题
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