Find your effective DPI (eDPI) — a single number gamers use to compare mouse sensitivity settings fairly across different games and mice.
How it works
eDPI is mouse DPI × in-game sensitivity multiplier. An 800 DPI mouse with a 0.5 in-game sensitivity has an eDPI of 400.
What this does not include
eDPI is a useful comparison number, not a perfect one — different games’ sensitivity sliders don’t always scale identically, so an eDPI match between two games doesn’t guarantee identical in-game feel.
How to use this calculator
- Enter your mouse’s DPI setting.
- Enter your in-game sensitivity multiplier.
A worked example
800 DPI mouse at 0.5 in-game sensitivity: eDPI = 800 × 0.5 = 400.
400 DPI mouse at 1.25 sensitivity: eDPI = 500 — a lower physical DPI but higher in-game sensitivity lands on a higher effective sensitivity overall.
What the variables mean
| Variable | Meaning |
|---|---|
| DPI | Mouse hardware sensitivity, dots per inch |
| Sensitivity | In-game sensitivity multiplier |
Edge cases worth knowing
eDPI is what actually determines cursor speed, not DPI alone. Two players with very different mouse DPI settings can have identical actual sensitivity if their in-game multipliers are adjusted to compensate — eDPI is the number that makes settings comparable across different mice.
A DPI of zero makes the calculation meaningless, so the calculator declines to show a result for that input.
Why can’t you just compare raw DPI settings between games?
Because each game applies its own sensitivity multiplier on top of the hardware DPI, so the same DPI setting can feel completely different depending on where a game’s sensitivity slider sits — eDPI normalizes for that.
Is a higher or lower eDPI better for competitive gaming?
Neither universally — pro players use a wide range of eDPI values, and the “right” setting is highly personal, based on mouse-pad size, arm-versus-wrist aiming style, and individual preference.
Can I use eDPI to match settings between two different games?
It’s a reasonable starting point for keeping a consistent feel, though fine-tuning within each specific game is usually still needed since sensitivity curves aren’t always identical.
