Measured Value
Also known as: measured data, sensor data
A measured value is a number that came from a real sensor or instrument. This means a launch monitor, radar gun, or wearable. This means and was not inferred or estimated from video or rules.
Measured values are the gold standard in SwingVantage's data provenance system. When you import data from a launch monitor (ball speed, spin rate, launch angle) or a radar device (pitch speed, serve speed), those values are labeled 'measured' throughout the app. They are the most trustworthy inputs because they were observed directly, not derived. The distinction matters. This means a measured ball speed of 152 mph is a fact. An estimated ball speed of 'likely around 150 mph' from video is an inference.
If you have access to a launch monitor for even one session per month, import those readings into SwingVantage to anchor your measured baseline. This means all other session estimates will be calibrated against this real reference point.
When comparing sessions that mix measured and estimated values for the same metric, use only the measured sessions for trend analysis. This means estimations can drift with video quality changes unrelated to actual swing changes, contaminating the trend line.
Example
A TrackMan session imported into SwingVantage shows ball speed as 'Measured. This means 157 mph' and spin rate as 'Measured. This means 2,680 rpm', neither subject to video estimation error.
Why it matters
Knowing a value was actually measured — not estimated — is the difference between acting on a fact and acting on an assumption. SwingVantage always tells you which.
How it shows up on video
When a measured value exists for a metric, the metrics panel in Motion Lab shows that value in solid green rather than with a dashed indicator. This means the visual distinction immediately signals direct measurement rather than video-inferred estimation.
Common mistakes
- Treating a measured ball speed from one session as representative of all sessions. This means a measured value is accurate for the session it was taken. Other sessions without measurement still require estimation.
- Assuming measured values from different devices are directly comparable — different launch monitors use different measurement methods and can show systematic offsets for the same metric.
- Importing measured data without labeling which device it came from. This means provenance requires not just "measured" but which sensor measured it. As a result, results can be cross-referenced if the device is questioned.
- Averaging measured and estimated values for the same metric across sessions as if they have equal reliability. This means always analyze measured and estimated sessions separately before comparing trends.
In SwingVantage Motion Lab
In Motion Lab, measured values appear in the metrics panel with a solid green [M] badge. Clicking the badge opens the import log showing which device and session produced the measurement, providing complete provenance traceability for every measured data point.
Related terms
- Estimated ValueAn estimated value is a number derived from observable cues and encoded rules rather than from direct sensor measurement. This means a confident, grounded inference that is never presented as a measured fact.
- Interpreted ValueAn interpreted value is a judgment or label that emerged from AI reasoning applied to raw data. This means such as 'likely timing issue' or 'probable hip stall'. Instead of from a direct measurement or a deterministic rule.
- Data Source LabelA Data Source Label is the badge shown alongside every metric in SwingVantage that identifies where that data came from. This means Measured, Estimated, AI Interpreted, Placeholder, or Real. This means. As a result, you always know how to weight it.
- Evidence LabelAn evidence label separates what SwingVantage measured (a sensor or launch-monitor number) from what it estimated (an inferred likely pattern). As a result, an estimate is never presented as a lab measurement.
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