Oblivity - Find Your Perfect Sensitivity -

: Keep your Windows "pointer precision" (mouse acceleration) off and use a consistent DPI (ideally 800 or below) to prevent software-induced jitter. Oblivity - Find your perfect Sensitivity on Steam

Gives users the ability to build, upload, and share custom targeting maps with other players.

Before we can talk about finding the perfect sensitivity, it's crucial to understand what mouse sensitivity actually is and what elements compose it. The feeling of your aim is determined by the synergy between hardware and software: Oblivity - Find your perfect Sensitivity

You cannot find your perfect sensitivity by guessing. You need a scientific benchmark.

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You can see your improvement over weeks and months, ensuring that your new sensitivity is actually yielding better results. Is Oblivity Right for You?

Over a designated period, the system pinpoints exactly where your performance spikes. It determines the sweet spot where your brain and hand are perfectly synchronized, outputting your optimal cm/360 (the physical distance your mouse must travel to do a full 360-degree turn in-game). Beyond the Finder: The Complete Aim Ecosystem : Keep your Windows "pointer precision" (mouse acceleration)

This article explores the art and science of sensitivity optimization, with a particular focus on —an advanced aim training tool designed to solve this exact problem. We’ll break down its unique features, how it works, and how it compares to other methods and tools in the gaming landscape.

: As you play through various scenarios, the software automatically changes your sensitivity each round. The feeling of your aim is determined by

Most players pick a random pro’s eDPI (e.g., 800 DPI @ 0.35 in Valorant) and assume it will work for them. It doesn’t.

Oblivity allows you to watch replays of your training sessions with overlay data. You can view mouse-path heatmaps to see if your hand shakes during certain movements, or if you struggle to move your mouse smoothly in specific directions (such as diagonal tracking). Why Data-Driven Aiming Matters