Sensitivity Converter
Sensitivity Converter
Source Game
Target Game
Enter sensitivity to see result
Engine Comparison
Apex Legends
Modified Source
Valorant
Unreal Engine 4
Conversion Formula
New Sens = Old Sens × (Old Yaw ÷ New Yaw)
cm/360 = 360 ÷ (DPI × Sens × Yaw) × 2.54
Popular Conversions
Apex Legends Sensitivity Conversion
Convert Apex Legends sensitivity to other FPS games or from other games to Apex Legends. Yaw-based conversion keeps cm/360° consistent for seamless muscle memory transfer.
Engine & Parameters
- Game EngineModified Source
- Yaw Value0.022
- Sensitivity Range0.5 – 5
- Default Sensitivity2.5
Game Type
Battle Royale / Multiplayer
Pro recommended cm/360°: 30–45 cm
Apex Legends is built on a modified Source engine. Hip-fire yaw matches CS2 at 0.022, allowing direct 1:1 sensitivity mapping.
Engine Notes
Modified Source engine with identical hip-fire yaw to CS2. ADS sensitivity uses a separate multiplier.
Sens 2.5 (800 DPI) ≈ 20.8 cm/360°
Apex Legends Convert to Other Games
Apex Legends → Counter-Strike 2
Sens 2.5 → 2.5000 · yaw 0.022 → 0.022
Apex Legends → Valorant
Sens 2.5 → 0.7857 · yaw 0.022 → 0.07
Apex Legends → Overwatch 2
Sens 2.5 → 8.3333 · yaw 0.022 → 0.0066
Apex Legends → Rainbow Six Siege
Sens 2.5 → 9.6154 · yaw 0.022 → 0.00572
Apex Legends → Fortnite
Sens 2.5 → 0.0990 · yaw 0.022 → 0.5555
Apex Legends → Call of Duty: Warzone
Sens 2.5 → 8.3333 · yaw 0.022 → 0.0066
Apex Legends → Escape from Tarkov
Sens 2.5 → 2.5000 · yaw 0.022 → 0.022
Apex Legends → PUBG
Sens 2.5 → 2.5000 · yaw 0.022 → 0.022
Apex Legends → Battlefield 2042
Sens 2.5 → 25.0000 · yaw 0.022 → 0.0022
Apex Legends → Delta Force: Hawk Ops
Sens 2.5 → 2.5000 · yaw 0.022 → 0.022
Apex Legends Sensitivity Reference Table
| Sensitivity | eDPI (800 DPI) | cm/360° | Speed Grade |
|---|---|---|---|
| 0.5 | 400 | 103.9 cm | Low Sensitivity |
| 1.143 | 914 | 45.5 cm | Medium Sensitivity |
| 1.786 | 1429 | 29.1 cm | High Sensitivity |
| 2.429 | 1943 | 21.4 cm | High Sensitivity |
| 3.071 | 2457 | 16.9 cm | High Sensitivity |
| 3.714 | 2971 | 14 cm | High Sensitivity |
| 4.357 | 3486 | 11.9 cm | High Sensitivity |
| 5 | 4000 | 10.4 cm | High Sensitivity |
* cm/360° calculated at 800 DPI. Low sensitivity (>50cm) suits tactical shooters, medium (30–50cm) for battle royale, high (<30cm) for fast-paced games.
Apex Legends Sensitivity FAQ
Q. What sensitivity should I use for Apex Legends?
Apex Legends is a battle royale / multiplayer game. Pro players recommend cm/360° in the 30–45 cm range. At 800 DPI, sensitivity is typically set between 0.5–5. Use the PSA method to scientifically find your ideal value.
Q. What does Apex Legends's yaw value mean?
Apex Legends's yaw value is 0.022, meaning each unit of sensitivity corresponds to 0.022° of camera rotation per mouse count. The yaw value is the core parameter for sensitivity conversion. Modified Source engine with identical hip-fire yaw to CS2. ADS sensitivity uses a separate multiplier.
Q. How do I convert Apex Legends sensitivity to other games?
Use the formula: New Sens = Apex Legends Sens × (0.022 ÷ Target Yaw). Or use the converter tool above — select the target game and it calculates automatically. The conversion preserves cm/360° for consistent muscle memory.
Q. Should I enable Raw Input in Apex Legends?
Strongly recommended. Raw Input lets Apex Legends read mouse data directly, bypassing Windows mouse processing (like acceleration). Also disable "Enhance pointer precision" in Windows settings — it's actually mouse acceleration that destroys sensitivity consistency.
Q. How do I calculate Apex Legends eDPI?
eDPI = Mouse DPI × Apex Legends In-game Sensitivity. For example, 800 DPI × Sensitivity 2.5 = eDPI 2000. eDPI is a unified standard for comparing sensitivity across different DPI settings.
Q. How do I adjust Apex Legends sensitivity after changing DPI?
Keep eDPI the same. If DPI doubles from 800 to 1600, halve the sensitivity. Formula: New Sens = Old Sens × (Old DPI ÷ New DPI). Example: 2.5 × (800 ÷ 1600) = 1.250.
Find Your Perfect Apex Legends Sensitivity
Use the PSA method for scientific testing — 7 rounds of iterative convergence