NateChrony Product Reference

Here is the detailed reference and definitions for the NateChrony products.

  • Accuracy Confidence: Based on the quality of the sensor data, how confident the unit is on the reading. Anything above 75% is very high confidence and can be considered as a perfect reading
  • Alignment error: Generated when there is an issue with the data collected between the two sensors. Typically occurs when there is an alignment issue with an adapter, or when performing the drop test
  • Auto Save: (SteadyShot model only) when enabled - every shot will be automatically saved to the unit. When disabled you need to refresh the screen to display the last/previous shots, and save the shots in the current shot string
  • avg: The average value in the series, calculation: sum of values / number of values
  • Capture rate: How quickly/frequently you want to read data from the sensor
  • Desc: The currently configured description/comment, up to 30 characters in length
  • Field Mode: (SteadyShot model only) Uses the onboard LED to indicate if a shot was above/below 3 pre-configured speeds
  • fpe: Power in foot pounds, calculation: (fps x fps x current pellet weight) / 450240
  • fps: Speed, feet per second
  • Grains: Unit of weight for the projectile
  • Grams: Unit of weight for the projectile, calculation: grains x 15.4324
  • Joules: Power in joules, calculation: (fpe x 1.35582)
  • m/sec: Speed, meters per second
  • max: The maximum value in the series
  • min: The minimum value in the series
  • Pellet Weight: The currently configured weight of the pellet, in either grains or grams
  • rps: Rate of fire, rounds/shots per second
  • Shot Count: The number of shots in the current shot string
  • spread: The spread of the results, calculation: maximum value - minimum value
  • std dev: The standard deviation of the results
  • SteadyShot Graphs: This is the acceleration data, and ranges from -20 to +20 (once calibrated)
  • SteadyShot Score: There is a score for each axis, and a total. This is a proprietary algorithm which will give a low score for low acceleration movements, and will exponentially increase for higher acceleration movement



Last Updated: 2025-05-26 09:59:59 +1000 AEST