CS2 KINEMATIC SENSITIVITY OPTIMIZER

An advanced, closed-loop calibration system that analyzes your flick kinematics (overshooting/undershooting) in 3D WebGL and adjusts your sensitivity in real-time using a gradient-descent algorithm.

Your physical mouse DPI setting
Your current in-game sensitivity

How It Works

  • Clicking Start locks your pointer and uses raw mouse input (bypassing OS acceleration).
  • Shoot the green spheres as quickly and accurately as possible.
  • We measure the exact path distance of your flick vs. the ideal angle to target.
  • Every 5 shots, the algorithm calculates your median error and modifies your sensitivity.
  • After 40 targets (8 batches), you get your mathematically optimized CS2 sensitivity.

CS2 Sensitivity Optimization Methodology

Why does physical mouse calibration matter?

Finding the perfect CS2 sensitivity is about minimizing aiming error. Pro players copy each other's DPI and eDPI, but raw kinematics (how you accelerate and decelerate during a flick) depend entirely on your muscle structure and mouse pad friction.

How does the gradient-descent optimizer work?

This tool acts as a closed-loop system. We measure the ratio of your actual flick distance relative to the ideal angle. If you consistently overshoot targets, it lowers your sensitivity. If you undershoot, it raises it, converging on your optimal setting.

What is CS2 eDPI and how is it used?

eDPI stands for effective DPI. It is calculated by multiplying your hardware mouse DPI by your in-game sensitivity. While your physical mouse DPI remains static (like 400 or 800), you adjust your in-game sensitivity to reach your target eDPI.

TARGETS 0 / 40
BATCH 1 / 8
Aim and shoot the target sphere!

CALIBRATION PAUSED

Pointer lock was lost. Click below to resume raw input capture and continue, or return to the setup page.

CALIBRATION COMPLETE

Your aiming kinematics have been analyzed. Here are your optimal settings:

OPTIMAL CS2 SENSITIVITY 1.234
YOUR DPI (STATIC) 800
OPTIMAL eDPI 987
Starting CS2 Sens 1.000
Starting eDPI 800
Change Percentage +23.4%

Convergence History

See how the gradient descent algorithm adapted to your aiming over the 8 batches: