mouseCalibration
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Method · approximately 6 min read

How the assessment turns movement into a recommendation.

MouseCalibration does not guess from monitor size, copy a professional player or reward accuracy at any cost. It compares how you control several angular responses using the same task structure.

1. Establish an input reference

The quick route records three consistent sweeps across your comfortable mouse space. That creates a count-based starting response tied to the mouse DPI used during the session. The measured route records movement across a known desk distance, connecting those counts to centimetres.

No hidden DPI estimate. Without a physical measurement, the report stays in counts per turn. Adding the optional ruler check later converts the same result into universal cm / 360°.

2. Test four different demands

Micro controlSmall corrections and endpoint stability.
Target acquisitionPrompt movement to practical mid-range targets.
Large flicks25–35° changes that require decisive repositioning.
TrackingContinuous following with faster motion and large relocations.

Static modules require a click. Tracking requires following the target without clicking. The same categories repeat at every tested response so comparisons are meaningful.

3. Preserve the movement story

Every accepted round retains the target geometry, shot timeline and raw mouse events required to reconstruct the outcome. The scoring summary uses endpoint precision, click time, under- and overflick tendency, path efficiency, deviation from the ideal path, angular velocity, braking control, tracking error, time on target and recovery after a relocation.

A slow accurate click is not treated as automatically superior. Precision matters, but the decision also reflects whether the movement arrived in useful time and remained controllable under larger, faster demands.

4. Adapt, then confirm

The early rounds compare faster and slower responses around the starting point. Each accepted result informs the next setting. Once a candidate leads, four fresh confirmation rounds compare that candidate with the starting response in balanced order.

If the advantage does not repeat, the report says so. Fine-tune mode can recommend keeping the current response; discovery can retain the starting point. Unusable evidence produces a retest recommendation rather than a manufactured winner.

5. Present one useful result

The report gives one recommended response, explains the observed trade-offs and summarizes the session’s playstyle signal. That signal describes this session—not a permanent identity. The calculator then maps the result into supported games or guides a physical match when a trustworthy numerical scale is unavailable.

What this evidence proves

The software can verify its own calculation flow, stored evidence and comparison rules. It cannot prove from one browser session that a setting will improve competitive performance. The recommendation is a disciplined starting point to verify in the game you play.