Dynamic Systems Theory

Athletic performance emerges from the interaction of many interconnected systems within the body.  Dynamic Systems Theory provides a powerful framework for understanding the fundamental characteristics of skilled movement and how training can be designed to maximize progress while minimizing unnecessary stress and damage.

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Rather than viewing the body as a collection of isolated muscles or exercises, this approach recognizes that movement quality is shaped by how individual components work together.  When each element of the system functions effectively, complex athletic behaviors emerge naturally.  

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Within this framework, performance is influenced by constraints- a neutral term used to describe the boundaries, features, and variables that govern movement.  Joint capacity, tissue quality, motor control, task demands, and environment all act as constraints that shape how movement is expressed.  

CONSTRAINTS DON'T LIMIT MOVEMENT; THEY SHAPE WHAT'S POSSIBLE!

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Small improvements at the foundational level, such as joint capacity, tissue quality and motor control, can create disproportionate gains in performance.  By improving these underlying constraints, the system gains access to a wider range of movement solutions.  New strategies and skills often emerge without being explicitly coached.

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Conversely, when key constraints are underdeveloped, the system adapts by narrowing its options.  Learning slows, compensations increase, and performance potential is reduced.

​One small constraint can either accelerate development or quietly hold the entire system back.

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Dynamic Systems Theory allows us to meet each athlete where they are.  It supports a highly individualized, adaptable training process that evolves with the athlete, emphasizing deliberate development of the foundational building blocks that support long-term movement health, resilience, and performance.