Game logic
A target appears at a random valid position. Time from spawn to successful target click is recorded, while clicks on the surrounding arena count as misses.
Hit every target as quickly as possible. Misses hurt your accuracy; hesitation hurts your average.
This mini-game combines pointer movement, visual targeting and click speed. The main score is your average time per successful target; lower is better. Accuracy is tracked separately so random clicking does not look impressive.
Desktop mice and touchscreens feel different, so compare scores mostly on the same kind of device.
Hit 20 targets as they appear around the play area and measure average acquisition time together with misses and accuracy.
A target appears at a random valid position. Time from spawn to successful target click is recorded, while clicks on the surrounding arena count as misses.
Lower average target time is faster, but accuracy matters too. A very quick run with many misses is different from an equally quick clean run.
Twenty hits with two misses gives 20/22 successful clicks, or about 91% accuracy, alongside the average target time.
Mouse sensitivity, touchscreen size, display dimensions and pointer settings make cross-device comparisons approximate.
A target trainer combines visual search, pointer movement and click accuracy. A very fast run can be weak if misses explode; a perfect run can be slow if every movement is over-cautious.
You first have to detect where the new target appears. Dense visual clutter, target size and eccentricity can change how quickly the eyes and attention locate it.
A target far from the pointer generally requires a larger movement than a nearby one. That is why fair aim tests should randomize positions over many targets rather than overinterpret one path.
Misses add extra movement and correction. A useful personal score considers both completion time and hit quality, not only how aggressively you fling the cursor.
Mouse sensitivity, pointer acceleration, touch input, display size and refresh rate change the motor task. Keep your setup stable when comparing sessions.
| Signal | What it is useful for | Important limitation |
|---|---|---|
| Completion time | Overall pace | Can hide misses |
| Hit rate | Control | Can reward overly cautious play |
| Time per target | Average acquisition + movement | Useful across repeated runs |
| Same-setup trend | Personal improvement | Best comparison for practice |
If you want to learn from the score, keep sensitivity and device settings stable long enough to build a baseline. Constant setup changes make the data harder to interpret.