Oblivity is suitable for a wide range of gamers, including:
Walk into any FPS community, ask for the "best sensitivity," and you will be met with a barrage of conflicting advice. Some swear by a low-sensitivity, arm-aiming setup, citing superior stability in games like Counter-Strike 2 or Valorant . Others argue that a high-sensitivity, wrist-aiming setup is essential for tracking fast-moving targets in Apex Legends or Overwatch .
Complete the recommended playlist of scenarios. Avoid judging your performance during the test; just focus on hitting the targets as naturally as possible.
How far your cursor strays from the optimal path to a target. Oblivity - Find your perfect Sensitivity
This is the main event—the feature that sets Oblivity apart. The Sensitivity Finder is a guided, in-app process that turns the tedious task of finding your perfect sensitivity into a structured, almost scientific experiment.
A sensitivity that allows a professional player to make a flawless 180-degree turn might cause you to over-flick or suffer from wrist fatigue. Oblivity solves this by treating your aim as a scientific variable, measuring your actual performance rather than your emulation of someone else. How Oblivity Works: The Science of Selection
Gives users the ability to build, upload, and share custom targeting maps with other players. Oblivity is suitable for a wide range of
Ensure your posture and arm position are the same during the test as they are when you play your main game.
Many gamers struggle with trial-and-error adjustments or copy settings from professional players. However, this software automates the process using direct performance tracking, customized aim training, and deep data analysis. 🎯 Core Features of Oblivity
Features a large, community-driven collection of target scenarios and customized playlists. Complete the recommended playlist of scenarios
After several rounds, Oblivity presents you with a "Perfect Sensitivity" value. It provides a detailed breakdown of your strengths (e.g., "Great at flicking") and weaknesses (e.g., "Jittery tracking"), allowing you to decide if you want to stick with the data or tweak it slightly for comfort. Beyond the Finder: Training for Consistency
But his hand was steady. He wasn't fighting the sensitivity; he was wearing it.
Many gamers fall into the trap of copying the exact DPI and in-game sensitivity of esports stars like Faker, s1mple, or TenZ. While this provides a decent starting baseline, it is fundamentally inefficient for long-term improvement.