
Systematically improves mouse coordination and control
OpenAim is an aim trainer designed to systematically improve mouse coordination and control. It provides a range of drills and tools to help users enhance their aiming skills, particularly for gaming. The platform is intended for anyone looking to refine their mouse precision, from casual gamers to competitive players.
Drills are guided by a coach that sets a challenge point based on your success rate, with options for auto-gain sensitivity tuning and focus on specific axes.
Adjust crosshair style, size, thickness, and color. Choose target colors with colorblind-friendly presets and different target styles (filled, outline, both).
Record and export replays in .oar format for analysis. Replays include settings like FOV and sensitivity for accurate feedback.
Practice with synthetic opponents and receive diagnostic feedback on your performance to identify areas for improvement.
Hide HUD during runs for minimal distraction. Includes eye-rest reminders following the 20-20-20 rule to reduce fatigue.
Choose between summary or full data capture. Optionally contribute anonymized drill summaries to improve the population model and compete on the leaderboard.
The coach sets a challenge point based on your target success rate. It can auto-tune sensitivity from measured under/overshoot, and you can lock the session to one axis.
Yes, you can adjust crosshair style, size, thickness, color, outline, and on-target reaction. Target colors have colorblind-friendly presets and you can choose filled, outline, or both.
You control data capture level (summary or full). Anonymized drill summaries can be contributed to train the shared player model, but raw mouse traces are only uploaded if you enable sharing. You can opt out or revoke consent.
Yes, there is an 'Import sens' feature that converts your in-game sensitivity to work with OpenAim.
The leaderboard ranks players by task-Elo under a public handle. You can enable it in settings and share replays for deeper analysis.