Distance is the most basic training statistic  therefore, being confident in your distance data is important. There are a few ways to gather distance data while recording a GPSbased activity
 How Strava measures and displays distance
 Methods of Calculating Distance
 Reverting Distance
 Recording distance on a GPS device
How Strava measures and displays distance
When a GPS file is uploaded, Strava takes the distance data recorded in the file and parses it into a data stream to calculate total distance, average speed, and max speed. Depending on which method for recording distance is used (see explanation below), that data will be reflected in the distance stream and thus on Strava. Under normal conditions, differences should be minimal when comparing distance or speed metrics on Strava versus the GPS device. Still, any minor inconsistencies are likely due to number crunching on both ends  Strava processes and analyzes the data in the file independently. In contrast, most GPS devices tabulate these values on the device itself.
On Strava, distance contributes to your overall distance totals, whether in your Training Calendar, the bar graph on the Profile page, or your overall and yearly stats in the Profile sidebar. Additionally, distance readings contribute to your average speed, as average speed is calculated from a distance over your total moving time. Distance does not, however, contribute to your segments or segment times. Segment times are based on when you cross the start and endpoints of a segment. Therefore, distance is mostly a personal metric and statistic, except when Strava runs a distancebased challenge, like the monthly distance challenges, and in that case, the distance would be competitive.
Methods of Calculating Distance
There are two main ways to calculate the distance for most sports  Ground Speed Distance and GPScalculated Distance. Ground speed will measure your speed along the surface you are traveling (counting the revolutions of a wheel), and GPScalculated distance will "connect the dots" between your GPS points and triangulate the distance between the coordinates. Each method of gathering data can and may introduce some inaccuracy.

GPSbased device approach: The Strava mobile apps and many GPS devices will calculate your distance accumulated in "realtime" while the device is recording based on the GPS data.
 Pros: Refined calculation to gather distance data built into the file in the distance stream, measured in meters.
 Cons: The complicated nature of this "realtime" calculation can lead to stuck points, where no additional distance is recorded from the previous point, which can cause some Strava calculations like Estimated Best Efforts for Run to fail. Since this is a GPScalculated distance, a flat surface is assumed, and vertical speed from topography is not accounted for. Also, some accumulated distance may be lost as straight lines connect each GPS coordinate instead of an arc. This calculation method does not capture variations in the route between GPS points and may vary further when batterysaving features are enabled.

GPSbased, Strava postupload approach: After GPS data is recorded and uploaded to Strava, it is parsed into streams of data and analyzed. At this time, a calculation can be run on the GPS coordinates to get the distance. This is how Strava determines the length of any uploaded file that does not include a distance stream. You can use this method if you suspect a problem with your device's recorded distance (read about reverting distance down below.)
 Pros: Postupload GPSbased distance can eliminate problems like stuck points (see above) and create smoother, more accurate distance data than the device equivalent.
 Cons: A flat surface is assumed, and vertical speed from topography is not accounted for. Similar to the above, straight lines connect the GPS points.

Speed/Cadence Sensor Garmin GSC10 approach: Ground Speed distance is measured by counting the wheel revolutions and then multiplying by the wheel circumference.
 Pros: A wheel sensor will capture vertical speed and the additional percentage of distance accumulated with elevation changes. This could become a slightly more significant factor for mountain bikers who gain and lose a lot of elevation gain rapidly.
 Cons: Common problems with relying on a wheel sensor include: wheel size is not documented accurately, the device is moved to another bike with a different wheel size and not adjusted, the auto wheel size is calculated wrong either because of GPS inaccuracies or because the magnet did not count every wheel revolution.
Reverting your distance
If you suspect there is a problem with the distance recorded by your device, you have the option to override your device's distance with the Strava postupload approach. Click on the threedot action menu in the left sidebar and select the option "Correct Distance." This can improve the quality of uploaded data by eliminating outlier GPS data like inaccurate GPS points and data that is inconsistent with the file. If you change your mind, click the button again to revert back to the original distance.
Hierarchy of Garmin device inputs when multiple distance data sources exist
What happens if you have a PowerTap or a GSC10 Speed/Cadence sensor or both? When the Edge has multiple sources for the same information, it uses a predetermined selection process to go with what it will consider to be the most accurate source.
 If you have a PowerTap hub connected to your Gamin, it will take speed readings from the PowerTap hub above all other inputs.
 If you have a GSC10 Speed/Cadence sensor, the Garmin will take readings from this output over the GPScalculated distance.
 If you have neither, Garmin will calculate the distance based on GPS.
The key is that the data from either source is seamlessly incorporated into the recorded file under the distance stream. In some cases, the speed in MPH is documented in the file also as an extension. Regardless, each Garminproduced file has a distance stream of data measured in accumulated meters that serves to measure total distance and speed (both max and average).
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