A Load-Velocity Profile (L-V Profile)âalso known as an RM Equationâhelps you accurately estimate your 1RM and optimize load selection based on velocity. Letâs walk through how to set it up in the app.
𧪠Step 1: Create a New RM Equation
- Open the app and tap the âTestsâ icon.
- Select âEquations.â
- Tap the â+â button to create a new equation.
- Fill in the details:
- Name your profile (e.g., January Josh).
- Choose the metric (e.g., Peak Velocity).
- Select the exercise you'll be profiling.
đď¸ Step 2: Perform the Test
Youâll enter data for four sets, each at a different load.
Suggested Load Structure:
Set | Load (% of 1RM) | Reps |
---|---|---|
1 | ~50% | 3 |
2 | ~60% | 3 |
3 | ~70% | 3 |
4 | ~80â90% | 3 |
â ď¸ The 1RM velocity is crucial. If you donât know it, youâll need to:
- Perform a true 1RM lift, or
- Go to failure to determine the velocity threshold.
If that's not feasible, you can use data from similar exercises as a reference.
â Step 3: Review and Save Your Equation
After inputting your sets:
- The app will assess your equation:
- â Perfect / Nearly Perfect â Good to go!
- â ď¸ Improvable â Repeat recommended for better accuracy.
- â Bad Equation â Discard and try again.
Saving the Equation:
- Press Save once satisfied.
- Select the equation to use in future training by tapping the green checkmark.
- This equation will now be used to estimate your 1RM during workouts.
đ Step 4: Use & Manage Your Load-Velocity Profiles
- Your new RM Equation will display your estimated 1RM.
- Create multiple profiles for:
- Different exercises
- Specific training blocks
- Varying fatigue levels
đ You can switch between equations anytime to suit your session goals.
đ§ Summary
Action | Result |
---|---|
Create RM Equation | Customize 1RM estimation for a specific exercise |
Perform 4 progressive sets | Build a linear velocity profile |
Save and select | Choose the equation that best fits your session |
Use during training | Get real-time 1RM estimations based on the profile |
đ A well-built Load-Velocity Profile keeps your training accurate, adaptable, and personalized.