The PSA Method for Minecraft & Rainbow Six

PSA Isn't a Valorant/CS2-Specific Trick

The PSA (Perfect Sensitivity Approximation) method is built around a genre-agnostic idea: instead of guessing at a sensitivity number, you repeatedly compare a "low" and "high" candidate against real gameplay, and let your own measured performance — not a gut feeling — narrow the range each round until it converges on a number that suits your specific tracking and flicking ability. Nothing about that process depends on Valorant or CS2 specifically; it works in any game where mouse movement drives aim.

How the Core Method Works, Regardless of Game

1. Pick a starting range. A wide bracket (e.g., 20cm/360 on the low end, 60cm/360 on the high end) that almost certainly contains your ideal setting somewhere inside it.
2. Test the low end. Play for a fixed window (commonly 30–60 seconds of real combat or aim-training reps) at the low cm/360.
3. Test the high end. Immediately test the same window of gameplay at the high cm/360.
4. Compare, don't guess. Decide which felt more accurate and controlled — not necessarily which felt more comfortable, since comfort and performance often disagree early on.
5. Narrow the range and repeat. Move the bracket halfway toward whichever side performed better, and run the comparison again. After 5–7 rounds, the range narrows enough to land on a specific number.

Applying PSA to Rainbow Six Siege

Siege's slower, more deliberate pace (peeking angles, holding lines with limited repositioning) tends to reward a somewhat lower sensitivity than fast-paced arena shooters — many Siege players land in the 25–40cm/360 range, noticeably higher physical distance than typical Valorant settings. When running PSA for Siege specifically, test your low/high brackets against actual peeking and pre-fire scenarios rather than open-field flicking, since that's the skill Siege's sensitivity actually needs to support. Siege's yaw constant (0.00572) is already built into DCPROSENS's converter, so once you land on a target cm/360 via PSA, converting it to an exact in-game sensitivity number takes one step.

Applying PSA to Minecraft (Java Edition)

Minecraft is a special case worth calling out directly: its mouse sensitivity slider scales input on a non-linear curve rather than a simple straight multiplier, which our own Minecraft sensitivity page explains in more depth. This means a converted number from another game is only ever an approximation in Minecraft — which makes the PSA method's direct A/B testing genuinely more valuable here than in games with a clean linear formula, since you're testing real, felt performance rather than trusting a formula that can't be perfectly exact in the first place. Most competitive Java PvP players land their sensitivity slider somewhere between 40% and 70% — a good starting bracket for a PSA pass.

Applying PSA to CS2's Different Weapon Classes

Even within a single game, PSA is worth re-running for different weapon-driven playstyles. A player who primarily plays AWP (a single, precise flick per engagement) may converge on a different ideal sensitivity than the same player running rifles (frequent spray control and fast target switching), because the two weapon types reward slightly different balances of micro-precision versus flick speed. If your aim feels great on rifles but consistently off on AWP (or vice versa), it's worth running a focused PSA pass specifically testing that weapon.

A General Rule for Any Untested Game

If you're applying PSA to a game not explicitly covered above, the only real requirement is that the game has real-time, mouse-driven aim with a fixed camera-rotation model (which covers nearly every FPS and most third-person shooters). Set a starting bracket around whatever cm/360 range is common in similar games in the same genre, and let the A/B comparison process do the actual narrowing — the method doesn't need to know anything about the specific game to work correctly.

Why This Beats Copying a Number From a Guide

Every generic "best sensitivity for X game" list is describing an average across many different players' hand size, grip style, desk space, and monitor distance — none of which apply to you specifically. PSA sidesteps all of that by measuring your own actual performance directly, which is why it tends to converge on a genuinely better-fitting number than any published list, regardless of which game you're calibrating for.

Applying PSA to Overwatch 2

Overwatch 2's hero roster spans wildly different aim requirements — a hitscan DPS hero like Soldier: 76 rewards fast, precise flicking, while a tracking-heavy hero like Tracer or Genji rewards smooth, continuous target-following. If you main a specific hero role, run your PSA test brackets specifically in that hero's context rather than a generic aim-trainer scenario, since the ideal cm/360 for hitscan flicking and continuous tracking genuinely differ. Players who switch frequently between hero types sometimes settle on a slight compromise sensitivity rather than the individually "optimal" number for either style — a reasonable outcome PSA testing will surface naturally once you compare enough rounds across both playstyles.

Applying PSA to Apex Legends

Apex adds a wrinkle most other shooters don't have: four separate ADS sensitivity multipliers on top of your base hipfire setting (see our Apex ADS sensitivity guide for the full breakdown). Run your PSA pass on hipfire sensitivity first, exactly as described above, and only after that's settled, move to tuning your ADS multipliers using 1:1 focal scaling as a starting point rather than running a full separate PSA pass for each of the four zoom tiers — that level of granularity has diminishing returns for most players.

What to Do If Your PSA Result Doesn't Match Common Advice

Occasionally a full PSA pass converges on a cm/360 noticeably outside the "typical" range you'll see recommended for a given game — much lower or much higher than most published guides suggest. This isn't necessarily a sign you did the test wrong. Hand size, desk space, arm length, and monitor distance all genuinely shift where an individual player's ideal setting lands, and community "typical" ranges are just an average, not a hard boundary. If your result feels controlled and accurate over a full session of real play, trust the measured outcome over a generic guideline — that's the entire point of testing directly instead of copying a number.

How Often You Should Re-Run a Full PSA Pass

Most players don't need to repeat the full process regularly once they've converged on a setting that feels controlled and consistent over several weeks of play. Genuine reasons to re-run it include a new mouse or mousepad with meaningfully different weight or friction, a grip style change, a significant desk or monitor setup change, or simply a nagging feeling that your aim has felt slightly off for an extended period despite no obvious cause. Re-testing "just because" every few weeks tends to introduce more inconsistency than it resolves — trust a setting that's working until you have a concrete reason to revisit it.

Recording Your Results for Future Reference

Keep a simple note of your final cm/360, DPI, and the date you last ran a PSA pass for each game you play competitively. Beyond convenience when setting up a new PC, this history makes it easy to notice patterns over time — for example, realizing your ideal sensitivity has crept steadily in one direction across several calibration passes, which can be a useful signal about how your playstyle or comfort preferences are evolving.