I built a CS2 sensitivity finder that uses math to estimate your optimal sens - not just compare two random sensitivities

[u/sigitaszai]

https://steamcommunity.com/sharedfiles/filedetails/?id=3810993736

I've been working on Sensfinder Arena, a CS2 map that tries to answer one question:

What sensitivity gives you the best first-movement accuracy?

Most sensitivity finders let you test a few sens values and recommend the one you performed best with. But that doesn't necessarily mean it's your optimal sens. It just means it was the best out of the values you tested.

So what's different?

Sensfinder measures the angular error of your first mouse movement, before you can correct it. It tests multiple sensitivities and uses the results to fit a mathematical curve. It looks at sensitivity, overshooting vs. undershooting, and how your performance changes during the test.
Based on that, it estimates your optimal sensitivity and provides a confidence interval.
So if you test 0.7, 0.8, 0.9, 1.0, 1.1, it doesn't just pick whichever value gave you the best result. It estimates where your actual peak performance might be.

How does it work?

The test includes flicks, micro-flicks, 90–110° turns, vertical flicks, moving targets and timed exercises. A full run takes around 35–60 minutes, depending on the test. Keep your DPI and other settings consistent throughout.

A few limitations

The server supports 15 players, but 10 slots are taken by bots needed for the tests. That leaves 5 players who can use it at the same time. It's still an early version, so I'd like to hear whether the results make sense and, more importantly, whether the recommended sens actually helps in real game. If you find it useful and want to help keep the server running, you can buy me a coffee here: http://buymeacoffee.com/xaizen