🎮 How to Play
- Pick a mode: Flick (rapid switching), Tracking (moving target), or Gridshot (fixed targets).
- Click each target as fast and accurately as possible.
- 30-second round.
About this tool
Multiple aim training modes. Flick: rapid target switching. Tracking: keep cursor on moving target. Gridshot: hit fixed targets in sequence. Used by FPS gamers (Aimlab, KovaaK's-style).
About this aim trainer
This trainer measures three distinct mouse skills that competitive first-person shooters reward: Flick (large, fast cursor jumps to a new target), Tracking (keeping the crosshair on a target that is itself moving), and Gridshot (rapid sequential clicks on fixed targets, the original Aimlab benchmark). Each mode isolates a different mix of neuromuscular timing, visual attention, and decision speed.
The format mirrors the open-source aim test designs used by Voltaic, the community benchmark behind Aimlab and KovaaK's playlists. A 30 second round forces near-maximal effort and produces a score that is comparable across attempts. Because everything runs in the browser there is no install, no account, and no telemetry leaving your device.
How it works
The arena spawns circular targets at randomised coordinates inside the play area. The hit detector checks every mouse click against target geometry. Score is the simple count of successful hits in the round; accuracy is hits divided by total clicks.
Score = hits in 30 seconds Accuracy = hits / (hits + misses) x 100 Score / second = score / 30 Voltaic tier = mapped from score against community percentile
- Flick mode: target despawns after each hit and respawns at a new position. Tests rotational acceleration and stopping precision.
- Tracking mode: target moves continuously; the timer counts only time-on-target.
- Gridshot mode: multiple targets co-exist. Pure click speed plus spatial scanning.
Worked example: improving from 45 to 75 in Gridshot
A lifter playing Valorant at Gold rank scores 45 hits in a 30 second Gridshot session. After a 4 week routine of 20 minutes per day across Flick, Tracking, and Gridshot, they retest at 75.
- Week 0 baseline: 45 hits, 78 percent accuracy (45 hits / 58 clicks). Score per second: 1.50.
- Week 1: introduce a 3 minute wrist-warmup before each session. Score climbs to 52.
- Week 2: lock effective sensitivity at 320 eDPI (matches in-game). Score climbs to 60.
- Week 3: switch to a wider mousepad (450 x 400 mm) and a hard surface. Score climbs to 68.
- Week 4 retest: 75 hits, 84 percent accuracy. Score per second 2.50, a 67 percent improvement.
Score-to-rank reference
| Gridshot score (30 s) | Voltaic equivalent | Typical FPS rank | Profile |
|---|---|---|---|
| Below 30 | Iron | Valorant Iron to Bronze | New to mouse aim |
| 30 to 45 | Bronze | Valorant Bronze to Silver | Casual player |
| 45 to 60 | Silver | Valorant Gold to Platinum | Regular FPS player |
| 60 to 80 | Gold to Platinum | Valorant Diamond to Ascendant | Trains aim weekly |
| 80 to 100 | Diamond | Valorant Immortal, CS2 LE+ | Serious ranked grinder |
| 100 to 120 | Master | Valorant Radiant, CS2 Faceit 10 | Semi-pro level mechanics |
| 120+ | Grandmaster to Nova | Pro / streamer tier | Hours daily, optimised setup |
Common pitfalls
- Changing sensitivity to score higher. A higher in-trainer score on a different sensitivity does not transfer to your main game. Always train at your real eDPI.
- Skipping the warmup. Cold wrist and forearm muscles produce 10 to 20 percent worse scores in the first minute. Spend 2 to 3 minutes on slow tracking before benchmarking.
- Training only one mode. Pure Gridshot grinders develop click speed but lose tracking precision. Rotate all three modes weekly.
- No rest days. Mouse forearm muscles are small and slow to recover. Pros take 1 to 2 full rest days each week to prevent RSI and tendon irritation.
- Chasing peak score every session. Aim is highly state-dependent (sleep, caffeine, monitor refresh). Track a 5 session rolling average, not single-session peaks.
- Wrong monitor refresh or input lag. A 60 Hz display caps score 15 to 25 percent below 144 Hz performance. V-Sync, motion blur, and wireless mice add input latency that masks mechanical gains.
Related tools
Frequently asked questions
What is a good score on this aim trainer?
In 30 seconds of Gridshot, a casual FPS player lands 40 to 60 clean hits, an intermediate player 60 to 90, and a Valorant Immortal or CS2 Faceit level 10 player 100 plus. Flick mode scores 20 to 40 percent lower because target switching latency is higher than fixed-target stacking.
Does aim training actually transfer to in-game performance?
Yes for the mechanical layer, with limits. A 2021 Aimlab dataset of 80,000 users showed Voltaic benchmark gains correlate with rank gains in Valorant and Apex (r around 0.3 to 0.4). Aim training does not transfer to crosshair placement, peek timing, utility usage, or game sense, which is why pro routines are typically 30 minutes of aim training plus deathmatch and scrim time.
What mouse sensitivity should I use for aim training?
Use the exact same effective sensitivity (eDPI = DPI x in-game sensitivity) that you use in your main FPS. Aim training on a different sensitivity rewires muscle memory in a way that hurts in-game performance. Typical pro eDPI ranges: Valorant 200 to 320, CS2 600 to 1100, Apex 1200 to 1800.
How long should an aim training session be?
15 to 30 minutes per day, broken into 2 to 3 minute focused scenarios with rest between, beats one long 60 minute session. Muscle activation drops sharply after about 20 minutes of high-intensity mouse work. Three short sessions per day (warmup, mid, cooldown) is the routine used by most Aimlab benchmarks above rank Master.
Which mode should I practise first: Flick, Tracking, or Gridshot?
Pick the mode that matches your main game. Tactical shooters (Valorant, CS2, Rainbow Six) reward Flick and Gridshot. Tracking (Apex, Overwatch, Quake) rewards Tracking mode and microcorrections. If you play several, rotate all three so no skill domain decays while another improves.
Sources
- Voltaic, Aim Training Benchmarks 2024 edition, ranks from Iron to Nova.
- Sajedi et al. (2021) Effect of aim trainer use on FPS in-game performance, Aimlab whitepaper.
- KovaaK's FPS Aim Trainer, scenario design reference 2023.
- Logitech G, Mouse polling, DPI and input lag whitepaper 2022.