What is EMA and why is it used in the app?
EMA (Exponentially Moving Average) is a statistical method we use to smooth out your weight and strength data. It helps provide a clearer picture of your real progress by giving more importance to recent entries and less to older ones.
How does EMA help with tracking my weight?
Daily weight can fluctuate due to things like water retention, sodium intake, or meal timing. These ups and downs can be misleading.
EMA filters out the noise from these fluctuations, so your smoothed weight trend better reflects real changes—like fat loss—without overreacting to short-term spikes.
How does EMA help with strength tracking?
Your strength levels can vary from workout to workout, especially based on fatigue, recovery, or even sleep.
EMA emphasizes recent performance to show your actual trend—whether you’re gaining strength, hitting a plateau, or need to adjust your training.
Why not just show the raw data?
Raw data is valuable, but it can be noisy. One off-day or a particularly big meal can distort the bigger picture.
EMA reduces that noise while still staying sensitive enough to detect meaningful progress or plateaus—helping you and your coach make smarter decisions.
What makes EMA better than a simple average?
A simple average gives equal weight to all data points in a set time window. EMA, on the other hand:
- Responds more quickly to changes
- Prioritizes the most recent inputs
- Maintains smoother, more accurate trends
This makes it ideal for detecting real shifts in performance or body composition.
What if I miss a few weigh-ins or workouts?
That’s totally fine.
EMA still works well with irregular or missing data, especially when combined with interpolation (we estimate values between known points). So even if you don’t log every day, your trendline stays reliable and meaningful.
In short, why does this matter for me?
By using EMA, the app provides a more accurate, less noisy, and visually clear picture of your progress—so you can focus on what matters: consistent long-term improvement.