This browser flick test measures how fast and how accurately you snap your crosshair onto targets. A target appears at a random spot; click it as quickly as you can and the next one spawns. Over a 30-second run the tool reports your accuracy (share of clicks that hit a target), your average acquisition time in milliseconds (how long each flick took), and your targets per minute. A combined score is saved locally so you can chase your record. Every miss on empty space counts against accuracy, so precision matters — not just speed. Timing uses performance.now() for accuracy.
| Metric | What it captures | Good range |
|---|---|---|
| Accuracy | Clicks that hit a target vs. total clicks | 85%+ is strong |
| Avg acquisition | Time from target spawn to a successful hit | 350–550 ms (medium targets) |
| Targets / min | Overall pace across the run | 90–130+ |
These ranges assume the Medium target size on a mouse (not a trackpad). Small targets will lengthen acquisition time and lower accuracy; that is expected and is a tougher benchmark.
A flick is one motion: estimate the distance, move quickly, and stop precisely on target before firing. Three things separate clean flicks from sloppy ones:
This 2D test trains the eye-to-hand acquisition loop, which transfers usefully to 3D play even though the input model differs. For drills built specifically around flicking, see our flick shot training drills and the tracking vs flicking vs clicking balance guide.
Sensitivity is the single biggest lever on flicking. High sens makes large flicks effortless but turns small corrections twitchy; low sens is precise but demands more desk space for big swings. Almost every consistent flicker keeps one sensitivity locked so the calibration sticks. If you play multiple games, match your effective sensitivity (cm/360) across them with our cm/360 converter so a flick feels identical everywhere.
Flicking is only one of three core aim sub-skills, and a balanced player trains all three. Knowing where this test sits helps you interpret your score and decide what to practice next:
| Sub-skill | What it is | Where it matters |
|---|---|---|
| Flicking | Snap onto a static or newly-appeared target in one motion | CS2 rifles/AWP, Valorant Operator peeks |
| Tracking | Keep the crosshair glued to a moving target | Apex, Overwatch hitscan, smooth movers |
| Target switching | Transition cleanly between multiple targets | Clutches, sprays, multi-frag rounds |
This page trains flicking and the start of target switching, since each new target spawns at a fresh position. If your flick score is strong but you struggle against strafing enemies, your tracking is the gap — and a different scenario will help more than more flick reps. Our breakdown of how to split your time sits in the tracking vs flicking vs clicking balance guide, and tracking aim drills cover the moving-target side specifically.
A browser flick test is a fast, install-free way to warm up and to track your own consistency day to day. Its limits are real, though: it uses the OS mouse cursor rather than raw first-person input, it is 2D rather than 3D, and it does not run at your in-game sensitivity. So treat your score here as a personal benchmark, not a cross-device leaderboard, and do your transfer-focused practice in a full 3D trainer. The honest comparison is you today vs. you last week on the same setup.
Over a 30-second run it measures accuracy (the percentage of clicks that landed on a target), average acquisition time (milliseconds to move to and hit each new target), and targets per minute (overall pace). Together these capture flick speed and precision like an aim trainer scenario.
A flick shot is a fast, deliberate mouse movement that snaps your crosshair from its current position onto a target in one motion, then fires. Good flicks combine distance estimation, a quick-but-smooth stroke, and a clean stop. Over-flicking and slow correction are the most common errors.
Keep your sensitivity consistent so muscle memory can calibrate distances, warm up before ranking, and practice deliberate flicks rather than spamming. Prioritise stopping precisely on target over raw speed first, then add speed once stops are clean. A 3D aim trainer with reactive scenarios accelerates this.
Heavily. High sensitivity makes big flicks easy but small adjustments twitchy; low sensitivity is precise but needs more arm movement. Most flick-focused players sit in a moderate range and keep it constant so their brain learns exactly how far a given hand motion rotates the view.
It is a quick, zero-install benchmark and warm-up, but it uses 2D cursor input rather than a 3D first-person view with raw input and your real sensitivity. Use it to gauge consistency and warm up, then do focused practice in a full 3D aim trainer for transfer to actual games.