FREE eBook
Practitioner's Guide to
Practitioner's Guide to
ACL
A comprehensive guide for practitioners leveraging technology to optimize anterior cruciate ligament recovery and return-to-performance planning.


Simplifying the path to recovery
for a complex rehabilitation process.
As an integral structure to knee integrity and therefore athletic performance, the ACL and subsequent injuries to it can provide challenges to even the most experienced practitioners.
This guide draws on the expertise of guest author Paul Read (LinkedIn, X) and a range of ACL experts, providing both research-based and experience-led insights to optimize the ACL recovery journey at each stage.
Your ACL questions, answered.
- Q: What are the key physical characteristics to focus on?
- Q: What metrics provide useful insights from specific tests?
- Q: How can I best assess knee function?
- Q: What criteria are required to optimize client performance at each stage?
- Q: What criteria are required to optimize client performance at each stage?
- Q: What is a practical example of implementing multiple systems into an ACL rehabilitation process?
... and much, much more.
A criteria-based approach ensures rehabilitation progresses at a pace that aligns with the athlete’s capacity to handle the load, optimizing safety and effectiveness. This data-informed monitoring removes guesswork, providing a clear, personalized roadmap for recovery.
The objective data from DynaMo and ForceDecks has been a game-changer in my practice, helping me make more informed clinical decisions to confidently progress my ACL patients and athletes through their rehabilitation journey.
With contemporary evidence recommending criteria-based progression following ACL injury, the use of technology is becoming imperative in assessing the rehabilitation pillars of strength, power and neuromuscular control.
Tracking trends from jump data and strength helps identify deficits, support long-term knee health, and reduce re-injury risk. Technology has significantly improved my practice, ensuring better outcomes for ACLR patients
Instead of thinking about return-to-play testing as your magic 8 ball that ‘predicts re-injury risk,’ think about it as assembling puzzle pieces that help to reconstruct an athlete’s performance profile
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