Sparta doesn’t display countless other variables or metrics from our assessments for a number of reasons, the most important being that we have not found any other variables to be reliable and valid enough to warrant further investigation. Reliable, meaning that consistent and accurate data is able to be collected across multiple populations in a simple standardized and practical way, and valid meaning there is a meaningful relationship to health and human movement.
Commonly discussed metrics on social media from jump testing such as Peak Force, Power, and Reactive Strength Index (RSI) can be considered vanity metrics as they are typically quantitative, don't relate to movement strategy (HOW an individual moves), or are misunderstood. For example, measuring mechanical power and what we think of as a "powerful" athlete are two different things. Often coaches or practitioners are searching for a single best metric to compare individuals or track progress over time. While there is not and will never be one single answer, jump height (while not perfect) is perhaps the best output measure to be utilized and reported on in this context.
Another large concern with providing countless variables from the three different Sparta Scans (besides reliability) is the redundancy that occurs between multiple similar variables. Many different variables can be described and utilized but as they are often measured during the same phases of time or movement many of these variables are not independent of one another. Providing multiple redundant variables can be "interesting" for researchers but can often create confusion and paralysis for practitioners. The Sparta Science system utilizes a variety of machine learning techniques to identify the most reliable and meaningful variables while avoiding redundancy in order to decrease complexity. As our analysis and models evolve, alternative variables may be added to the system ONLY if they provide value.