You can extract data from your SCATT Professional files with zliobaite/Scatt-analysis (GitHub)
Alternatively you can use mwhapples/PyScatt (GitHub) to extract data with Python
Alternatively you can use jbm42/scatt2json (GitHub) to extract data to JSON
SCATT Professional program is incompatible with some SCATT file versions for MS-DOS. In order to transform such files into a new format, you should:
Check "Anonymize" to replace your name within the SCATT file by "scattdb.com".
The file is completely anonymized. So your name will not appear in the list of files nor shooters.
Check "Private" if you want to keep your training sessions private. By default training sessions are public.
When private only you can access your training sessions from your dashboard.
Option only available with an account.
Good S1 values for reference:
You can also see our advanced statistics to compare you with other shooters from SCATTDB.
Download the full SCATT Expert file with 1834 training sessions from 144 shooters (~400MB). The training sessions are from SCATT website.
This SCATT file is provided by kunitomogs.co.jp. You can find other SCATT files here in a SCATT Storage.
SCATT Expert and SCATT Basic files can exceed the size limit of 10MB. If that the case don't hesitate to send us your files, we will upload them.
Our email address: contact[at]scattdb.com
Create an account to manage and view your training sessions.
You can now start uploading your SCATT files.
Data from SCATT Pro files are very accurate for all events.
Data from SCATT Expert and SCATT Basic files are also accurate but you can notice very small differences on some values between our website and SCATT applications.
There is a work in progress on data accuracy for those events (SCATT Expert and SCATT Basic) :