Tracking
KB-backed aim training guides related to tracking, generated from AimMod's coaching knowledge.
14 related guides
Best pages for tracking
For Valorant, use tracking as support work rather than the core of the routine
Tracking can still improve raw mouse control for tactical shooters, but if Valorant is the main game it should usually be supplementary work behind smaller flicks, target switching, and click-timing precision.
Build slow correction quality before adding snap
In control tracking, readable nonlinear direction changes are most useful when you let them teach accurate, gradual corrections first and only add speed once those corrections are reliable.
Choose scenarios by the response they train, not just by the game tag
A scenario transfers best when it teaches the same movement relationship and reaction pattern the game demands, even if the target motion or map does not look one-to-one identical.
Control tracking sensitivity starting range
For control tracking, a good starting range is about 35-45 cm/360, with slower bias for steadier readable corrections and slightly faster bias if width changes feel too heavy.
In reactive tracking, land the correction before you push the pace
Manageable reactive tasks improve in-game aim best when you use them to make accurate repeated corrections, not to brute-force extreme reactivity.
Prioritize smooth control over aggressive chase behavior
Tracking players with overshoot bursts or unstable contact usually need smoother matching and earlier deceleration rather than more reactive intensity.
Everything currently filed under tracking
For Valorant, use tracking as support work rather than the core of the routine
Tracking can still improve raw mouse control for tactical shooters, but if Valorant is the main game it should usually be supplementary work behind smaller flicks, target switching, and click-timing precision.
Build slow correction quality before adding snap
In control tracking, readable nonlinear direction changes are most useful when you let them teach accurate, gradual corrections first and only add speed once those corrections are reliable.
Choose scenarios by the response they train, not just by the game tag
A scenario transfers best when it teaches the same movement relationship and reaction pattern the game demands, even if the target motion or map does not look one-to-one identical.
Control tracking sensitivity starting range
For control tracking, a good starting range is about 35-45 cm/360, with slower bias for steadier readable corrections and slightly faster bias if width changes feel too heavy.
In reactive tracking, land the correction before you push the pace
Manageable reactive tasks improve in-game aim best when you use them to make accurate repeated corrections, not to brute-force extreme reactivity.
Prioritize smooth control over aggressive chase behavior
Tracking players with overshoot bursts or unstable contact usually need smoother matching and earlier deceleration rather than more reactive intensity.
Reactive tracking sensitivity starting range
For reactive tracking, a good starting range is about 28-35 cm/360 because the category often benefits from faster answer speed while still demanding controlled finishes.
Start braking earlier after target recognition
When recognition clearly happens before slowdown, the player is seeing the new path in time but beginning deceleration too late.
Use easier motion-mapped variants before extreme one-to-one mimic tasks
If the player's response pattern is weak, easier scenarios that teach the core movement cleanly will usually transfer better than jumping straight into the most game-like or most reactive variant.
Use precise tracking to clean readable corrections first
Snake Track-style precise tracking is valuable because it keeps readable acceleration and deceleration in the task, forcing the player to stabilize contact and pacing before speed becomes the focus.
Blend muscle groups instead of isolating them
Control tracking is most effective when smaller groups start the movement and larger groups continue it, rather than pretending arm, wrist, or fingertips operate alone.
Protect quality when tracking pace fades late
Late-block pace fade in tracking often signals control fatigue or over-aggressive early pace that the player cannot sustain cleanly.
Use movement-linked scenarios instead of treating movement as off-limits
Movement is inseparable from aim in FPS games, and aim trainers can still isolate useful movement-linked practice through strafe, dodge, and anti-movement scenario types.
Use reactive speed work to clean up tension, not to hide it
Reactive speed tasks expose whether your wrist and hand can decelerate and stabilize cleanly at higher speeds without locking up.