Skip to content

Sensitivity converter

Move between games without relearning your aim. Convert sensitivity while holding cm/360 constant, and see your eDPI and turn distance instantly.

Valorant sensitivity
0.6286
eDPI
1600
Counter-Strike 2 sens x DPI
cm / 360
26
Distance for a full turn
inch / 360
10.23
Same turn, inches
GameSensitivityeDPI
Counter-Strike 221600
Valorant0.6286503
Apex Legends21600
Overwatch 26.66675333
Call of Duty (MW / Warzone)6.66675333
Fortnite0.079263
Rainbow Six Siege*7.67946144
PUBG19.80215842
Battlefield 204219.80215842
Quake Champions21600
Halo Infinite3.522816
Team Fortress 221600

* Non-linear sensitivity curve, so the converted value is a close starting point. cm/360 is the real-world distance to turn all the way around at 800 DPI.

How conversion works

Every game turns your view a fixed number of degrees per mouse count at sensitivity 1. That number is the game's yaw. To keep the same feel, we hold cm/360 constant and solve for the new sensitivity:

new sens = old sens x (old yaw / new yaw)
cm/360  = 360 / (yaw x sens) / DPI x 2.54

Because Apex Legends and CS2 share the same 0.022 yaw, their sensitivities are identical at the same DPI. New to all this? Read our sensitivity guide.

Questions

What is eDPI?
eDPI (effective DPI) is your in-game sensitivity multiplied by your mouse DPI. It lets you compare how fast two players actually turn even if they use different DPI and sens combinations.
What is cm/360?
cm/360 is the physical distance, in centimeters, your mouse travels to turn a full 360 degrees in game. It is the most reliable way to match aim across different games because it ignores each game's internal sensitivity scale.
How do I keep the same aim when switching games?
Match your cm/360. This converter does that for you: pick the game you are coming from, enter your sens and DPI, and it gives you the sensitivity that produces the same turn distance in the target game.
Why is my converted sensitivity called approximate for some games?
A few games, such as Rainbow Six Siege, use a non-linear sensitivity curve. The conversion gets you very close, but you may want to fine-tune by feel.