
Evans Velo Zone™ (EVZ™) is designed to evaluate athlete development without requiring coaches to adopt a specific sensor, device, or hardware ecosystem.
That distinction matters.
Performance technology is expanding rapidly. Coaches can now measure bar velocity, power, force, jump characteristics, sprint metrics, timing data, and other outputs through an increasing number of devices and software platforms.
Those technologies can provide valuable evidence.
But the measurement tool and the developmental framework do not have to be the same thing.
EVZ separates how evidence is collected from how that evidence is interpreted developmentally.
The EVZ Performance Platform can therefore work through three evidence pathways:
• Observation | Technology | Hybrid
Different evidence. One developmental framework.
A performance device answers a measurement question.
Depending on the technology, that question might be:
• How fast did the bar move?
• How much power was produced?
• How high did the athlete jump?
• How long did the task take?
• How did output change across repetitions?
Those measurements can be highly useful, but their quality and meaning depend partly on the device, metric, exercise, and testing context.
Research comparing commercial resistance-training and velocity-monitoring technologies has shown meaningful differences in validity and reliability across devices and measurement conditions. Recent systematic reviews continue to emphasize that practitioners should understand the measurement characteristics and error of the tools they choose rather than assuming that all technologies are interchangeable.
EVZ is structured around a different question:
• What does the available evidence mean for this athlete’s development?
That allows the methodology to remain consistent even when the source of evidence changes.
Observation Mode
Technology is not required to begin evaluating developmental performance.
Observation Mode uses structured practitioner evidence to assess what the athlete demonstrates across repeated and changing demands.
EVZ uses a standardized 2 / 1 / 0 scoring system together with relevant task and Exposure / Demand context.
Depending on the activity, demand may include:
• Load | Distance | Height | Resistance | Assistance | Tempo / Duration | Other
This makes Observation applicable across performance environments such as:
• lifting
• jumping
• sprinting
• throwing
• change of direction
• timed tasks
• and other sport or training activities
Observation should not be viewed simply as a substitute used when technology is unavailable.
It is a distinct evidence pathway.
In some settings, an objective device may provide the best evidence.
In others, structured practitioner observation may be more practical or more appropriate to the performance question being asked.
The framework remains the same.
Technology Mode
When objective measurement is available, EVZ can use supported quantitative evidence such as:
• Velocity
• Power
• Force
• Time
• Other relevant performance outputs
Technology can improve measurement precision and provide information that would be difficult to estimate visually.
Velocity-based training is a good example. Movement velocity can support load prescription, monitor performance changes, and inform day-to-day training decisions when appropriately measured and interpreted.
But a metric does not interpret itself.
A lower velocity may represent deterioration under one set of circumstances and an entirely appropriate response to increasing load under another.
Likewise, a high power value may establish capability without revealing whether that output can be repeated, transferred across demand, or subsequently restored.
EVZ therefore interprets technology within additional context such as:
• Developmental Phase | Task | Demand | Laterality | Session Structure | Athlete History
The technology supplies evidence.
EVZ supplies the developmental context.
Hybrid Mode
Hybrid Mode combines objective measurement with structured practitioner observation.
This is useful because the two evidence streams do not always tell exactly the same story.
An athlete may produce an acceptable quantitative output while demonstrating a meaningful technical limitation.
Alternatively, the athlete may appear visually stable while objective data identifies a change that would otherwise be difficult to detect.
EVZ aligns the evidence around the same exposures and evaluates:
• Technology → Observation → Agreement / Divergence → Confidence → Unified Interpretation → Action
When the streams agree, confidence in the interpretation may increase.
When they diverge, that disagreement becomes useful information rather than something the system should hide.
This reflects a broader principle in contemporary athlete monitoring: individual measures are most useful when interpreted longitudinally and in context rather than treated as isolated decision rules.
Whether evidence comes from a sensor or structured observation, EVZ organizes interpretation through the same four developmental phases:
Retention
• Establish stable, repeatable output.
Is performance sufficiently repeatable to support continued development?
Transfer
• Carry performance across changing demands.
Does established performance respond appropriately as the task or demand changes?
Output
• Develop repeatable, higher output.
Can the athlete repeatedly express high performance at the most developmentally relevant demand?
Re-attainment
• Restore previously established output.
Can an established performance profile be restored or surpassed after a reset, reduction, or other relevant change?
The evidence source can change.
The developmental questions do not.
A technology-dependent coaching system is inherently linked to the capabilities of its measurement device.
If the device changes, the available data may change.
If a facility uses another manufacturer, the workflow may change.
If no technology is available for a particular athlete or task, the system may no longer apply.
EVZ is intentionally structured differently.
The methodology sits above the measurement layer.
Conceptually:
• Evidence Source → EVZ Interpretation → Development Profile → Coaching Decision → Longitudinal Record
That architecture gives coaches flexibility in several ways.
A practitioner can use objective technology when precision is useful.
The same practitioner can use Observation when the performance task is not easily captured by that technology.
A facility can potentially use different devices across different environments without requiring a different developmental methodology for each one.
And as performance technologies evolve, the underlying EVZ developmental model does not have to be rebuilt around every new sensor.
This matters because device capabilities and measurement quality continue to evolve. Research on both dedicated velocity devices and smartphone-based systems shows that measurement performance can vary by technology, exercise, load, and implementation context.
A durable methodology should therefore be able to incorporate useful evidence without being defined by one particular device.
Technology-agnostic does not mean technology-neutral in the sense that every device or metric should be treated as equally valid.
Coaches still need to select measurement tools appropriate to the task.
Validity, reliability, measurement error, ease of implementation, and the decision being supported all matter.
A recent systematic review of velocity-monitoring devices found substantial methodological variability in device validation and emphasized the importance of rigorous, context-specific evaluation.
Similarly, contemporary athlete-monitoring frameworks recommend choosing measures that are sufficiently accurate and practical for the intended decision rather than simply collecting more data.
EVZ does not eliminate those responsibilities.
Instead, it provides a consistent developmental structure for interpreting the evidence once it has been collected.
The larger EVZ objective is not simply to analyze one session.
Each relevant session can contribute to the athlete’s longitudinal Development Profile.
That allows the coach to begin answering:
• Then — What was previously established?
• Now — What is the athlete currently demonstrating?
• Next — What should be progressed, held, restored, or reassessed?
Longitudinal monitoring is fundamentally different from isolated testing because repeated measurements allow practitioners to evaluate change relative to an athlete’s own history while accounting for normal variability and measurement error.
EVZ is built around that accumulated developmental context.
A technology platform may tell the coach what happened on a repetition.
EVZ is designed to help determine what that evidence means within the athlete’s larger developmental trajectory.
A consistent developmental framework can be particularly valuable when multiple coaches, athletes, technologies, or training environments are involved.
Instead of requiring every coach to interpret every device independently, EVZ provides common developmental language:
• Retention → Transfer → Output → Re-attainment
and common directional states:
• Progress | Hold | Fade | Stall
This creates a shared framework for discussing:
• what has been established
• what is changing
• where limitations are emerging
• what should be developed next
• and whether previous performance has been successfully restored
The goal is not to replace practitioner judgment, but to structure it.
Performance technology is becoming increasingly capable.
More sensors will emerge.
More metrics will become accessible.
More systems will automate data collection.
That increases the value of having a framework that is not dependent on any one of them.
EVZ is designed so that the technology can evolve while the developmental questions remain consistent.
Observation | Technology | Hybrid
Retention → Transfer → Output → Re-attainment
Progress | Hold | Fade | Stall
Then → Now → Next
The measurement tool can change.
The developmental logic remains.
Different evidence. One developmental framework.
Better evidence. Better decisions. More durable performance.
[Explore the EVZ Performance Platform →]
Wannouch, Y. J., Leahey, S. R., Ramírez-Campillo, R., et al. (2025). A systematic review using a multi-layered criteria framework for assessing the validity and reliability of velocity monitoring devices in resistance training. PLOS ONE.
Weakley, J., Morrison, M., García-Ramos, A., Johnston, R., James, L., & Cole, M. H. (2021). The validity and reliability of commercially available resistance training monitoring devices: A systematic review. Sports Medicine, 51, 443–502.
Balsalobre-Fernández, C., & Torres-Ronda, L. (2021). The implementation of velocity-based training paradigm for team sports: Framework, technologies, practical recommendations and challenges. Sports, 9(4), 47.
Puppyn, N., & Brughelli, M. (2026). The validity and reliability of commercially available smartphone-based velocity-based training applications: A systematic review with guidance for research and practice. International Journal of Sports Science & Coaching.
Monitoring Training Effects in Athletes: A Multidimensional Framework for Decision-Making. (2026). Sports Medicine. The review distinguishes isolated assessment from systematic longitudinal monitoring and emphasizes contextual, individualized interpretation for decision-making.
Bailey, C. (2019). Longitudinal monitoring of athletes: Statistical issues and best practices. Journal of Science in Sport and Exercise, 1(3), 217–227.