Based on billions of data points, Norms are integrated into all of your VALD systems and reports, helping contextualize your athletes’ data.
COMPARISON AT SCALE
The next step.
Norms are the next evolution of objective measurement, providing population-based context that builds a story around your data. By placing individual performance within the context of an athlete’s peers, Norms help inform decision-making.
Normative data for a range of populations
VALD users have free access to 80+ (and growing) Normative Data Reports tailored to specific sports and based on VALD Norms, as well as reports based on published research. These reports give practitioners the confidence to benchmark and monitor performance and make key decisions about athlete readiness.
BEYOND THE NORM
Data that supports your expertise.
Norms are a decision support framework for VALD systems. They provide objective context that strengthens performance decision-making by identifying whether results are typical, greater or lower than typical for a given population.
Give your athletes context.
VALD’s MoveHealth app gives your athletes instant access to their assessment results. Normative data is directly integrated into their objective testing results, providing clear context on how they compare to their peers. Athletes can complete assigned exercise programs and questionnaires, and stay engaged throughout their return-to-performance journey, all in the MoveHealth app.
OPTIMIZED OUTCOMES
Better justification. Better outcomes.
Rather than chasing symmetry alone, VALD Norms help practitioners contextualize progress and justify rehabilitation decisions, ensuring athlete outcomes are not just acceptable, but optimized.
UNPRECEDENTED SCALE
Built on billions of data points.
Norms give powerful context on a massive scale. Based on anonymized data from millions of individuals from a myriad of demographics and billions of data points, VALD’s Norms are powered by the world’s largest musculoskeletal health and performance dataset.
VALD DATA CLEANSING PROCESS
The VALD Data Lakehouse
The VALD Data Lakehouse centralizes data across VALD's multiple systems and applies protections using several access and privacy controls. For Norms, filtering processes are used to remove incomplete or low-quality tests, ensuring Norms datasets reflect reliable results. Cleansed data is then used in reporting and analytics, data serving and machine learning.
DATA YOU CAN TRUST
Quality in. Quality out.
VALD’s data cleansing process results in a dataset that is smaller than the original one that enters the funnel, but with billions of data points, you are always getting accurate Norms based on tens of thousands of similar individuals in each demographic. As a practitioner, you can interpret and compare data with confidence, knowing it is built on consistent and trustworthy inputs.
Asymmetry without normative context can misrepresent limb function. Normative data allows us to judge differences against population capacity, task demands and longitudinal trends — not percentages alone.
FREE RESOURCES
Learn more about Norms
Speak to our team.
Our team is here to help you get the most of your VALD technology. We are a solutions-focused company so if you have something you want to better understand, we want to help you find a way to measure and track it.
