Hit 30 targets as quick and accurate as you fit, and see how your aim follow Fitts's law. Free, no sign-up.
Na Helibrain team write amRobert(English), PhD student for biophysics, don review amDem publish am Dem last review am
How to understand your score
- Average time for each target: the full run time divided by the number of targets, for milliseconds (ms). Lower one better. Missed clicks dey use time, so dem show here too.
- Accuracy: targets wey you hit divided by all your clicks inside the play area.
- Fastest hit: the one target wey you hit quickest.
- Throughput: speed and difficulty inside one number, for bits per second (see below). Higher one better.
- The chart: each dot na one target, showing the time against how hard e be. The dashed line na your own Fitts's-law line.
Wetin be Fitts's law?
Fitts's law talk say the farther away and the smaller target be, the longer e go take to hit am. For 1954, Paul Fitts show say the time dey grow in a straight line with target's "index of difficulty", wey dem measure in bits [1]. Today, dem dey usually write am as log2(distance / width + 1) [2]. Designers dey use am to make buttons easy to hit.
Quick facts
- Wetin e measure: how fast and accurate you point to targets: see where target dey, move go there, then stop on top am.
- Throughput with mouse: lab studies wey use the standard method find about 3.7 to 4.9 bits per second [3].
- Throughput with finger: for one phone study, 16 people wey dey tap targets reach about 7 bits per second [4]. We use simpler method for our numbers (see below), so you no fit compare dem directly.
- Small targets for touch screens: finger touch dey land about 1 to 1.5 mm away by itself; targets wey smaller pass about 7 mm get plenty misses [5].
- Mouse and touch dey separate: dem dey compare results only among people wey use the same kind of input.
How the aim trainer dey work
- Press Start for the middle of the play area. Clock go start.
- Hit the targets. 30 round targets go show one after another, in three sizes; each one go far from the last one. Click wey miss go count against your accuracy; the target go stay until you hit am.
- See your result, with your Fitts's-law line.
If you share your score, your friend go get exactly the same targets.
We calculate throughput from each target's distance and size as e show here, without the corrections wey the lab standard dey add for where clicks land [3]. Na why we talk make you compare with your own runs.
Wetin dey affect your aim?
- Distance and size. Far, small targets take the longest: na Fitts's law be that [1, 2].
- The device. Mouse, touchpad and finger fit give different results. For lab studies, touchpad much slower pass mouse [3].
- Speed or care. If you rush, you go miss more, and every miss dey use time. The best scores come when you keep steady pace.
- Age. For one study, adults make fewer errors pass children aged 12 to 14, and dem faster pass people aged 61 to 69 [6].
- Practice. Times dey drop for the first few runs as you get used to the game.
Wetin this test fit and no fit tell you
The aim trainer dey measure how fast and accurate you point with this device today. E no be test of intelligence or your brain health, and short score no dey predict how good you go be for games.
Compare am with your earlier runs on the same device; new mouse or different screen size dey change the numbers.
Questions people dey ask
Wetin be good aim trainer score?
Compare with your own runs on the same device: for game like this, good score na one wey beat your last one. When enough people don play, the result go also show how your first run compare with other players' first runs wey use the same input.
Wetin be throughput for bits per second?
Throughput combine how hard the targets be and how fast you hit dem. Dem count difficulty in bits: log2(distance / width + 1) [2]. Divide am by the time each hit take, then find the average, and you get bits per second. Lab studies with mouse find about 4 to 5 bits per second with stricter method [3].
E fair to compare mouse and touch?
No, and we no dey do am. Finger and mouse dey move differently, so the result only dey compare you with other people wey use the same input.
Why my friend's targets dey the same as my own?
Shared score link carry the run's seed, so the targets go come out the same. That one make the challenge fair.
Helibrain aim trainer free?
Yes. The game and your full result free: no sign-up, no email, no payment.
Other tests wey relate to am
- Test for how fast you dey clickHow many times you click, tap or press spacebar for small time.
- Test for how quick you dey reactHow quick you react when signal show.
- Test for how fast you dey typeEnglishHow many words you fit type for one minute, and how correct you type dem.
See all di 43 free tests wey check brain
You wan work on dis every day? Di Helibrain app (for English for now) get free plan and plans wey you pay for.
Cite dis page: Practice Your Aim. Helibrain. 2026. https://helibrain.com/pcm/aim-trainer. CC BY 4.0.
How this test works
This game measures how quickly and accurately you can point at targets. Press Start, then hit 30 round targets that appear one at a time, in three sizes and at different distances. A miss doesn't move the target, but it costs time and lowers your accuracy. Your main score is your average time per target. You also see your accuracy and your throughput in bits per second. Psychology labs have used pointing tasks like this since Paul Fitts described them in 1954.
Version 1 · Cite this test:
Helibrain (2026). Aim trainer, v1. https://helibrain.com/aim-trainer/methods
Sources
- Fitts PM (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47(6):381–391. doi.org/10.1037/h0055392
- MacKenzie IS (1992). Fitts' law as a research and design tool in human-computer interaction. Human–Computer Interaction 7(1):91–139. doi.org/10.1207/s15327051hci0701_3
- Soukoreff RW, MacKenzie IS (2004). Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI. International Journal of Human-Computer Studies 61(6):751–789. doi.org/10.1016/j.ijhcs.2004.09.001
- MacKenzie IS (2015). Fitts' throughput and the remarkable case of touch-based target selection. Human-Computer Interaction: Interaction Technologies (HCII 2015), LNCS 9170, 238–249. doi.org/10.1007/978-3-319-20916-6_23
- Bi X, Li Y, Zhai S (2013). FFitts law: modeling finger touch with Fitts' law. Proceedings of CHI 2013, 1363–1372. doi.org/10.1145/2470654.2466180
- Hertzum M, Hornbæk K (2010). How age affects pointing with mouse and touchpad: a comparison of young, adult, and elderly users. International Journal of Human-Computer Interaction 26(7):703–734. doi.org/10.1080/10447318.2010.487198
How we take make dis page: di Helibrain team write am from di studies wey dem list above, and Robert(English) (PhD student for biophysics) review am on 4 Nọvẹ́mba 2026. We dey update am wen di sources change.