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Understanding Cycle Predictions

Lova uses your personal cycle history to predict future periods. Here's how it works.

How Predictions Work

Unlike apps that assume a 28-day cycle, Lova learns your unique pattern. The prediction algorithm analyzes:

Cycle history
Average length
Variability
Recent trends

Building Prediction Accuracy

Prediction accuracy improves as you log more data:

1 cycle
25%
2-3 cycles
50%
4-6 cycles
75%
6+ cycles
95%

Import Your History

If you have data from another period tracker, importing it gives Lova instant history to work with.

What the Predictions Show

Predicted period dates

Highlighted range for your next expected period

Fertile window

Estimated ovulation and fertile days (if enabled)

Confidence indicators

How certain the prediction is

Why Predictions May Vary

Your cycle can be influenced by many factors:

Stress and lifestyle changes
Travel and time zone changes
Illness or medications
Exercise and diet changes
Hormonal changes over time

Lova adapts to these changes over time, adjusting predictions as your patterns shift.

Improving Prediction Accuracy

1

Log consistently

Record your period as soon as it starts and ends

2

Add historical data

Import or manually add past cycles

3

Track symptoms

Some symptoms correlate with cycle phases

4

Log BBT

Temperature data helps confirm ovulation

All Processing On-Device

Predictions are calculated entirely on your device. Your cycle data is never sent to any server. The algorithm runs locally, keeping your data private.

Understanding Confidence Levels

High
Consistent cycle history, prediction likely accurate
Medium
Some variability, prediction is an estimate
Low
Limited data or high variability, use as rough guide

When Predictions Are Wrong

If your period arrives earlier or later than predicted:

1
Log the actual start date
2
Lova automatically adjusts
3
Algorithm learns your patterns

Don't worry about "wrong" predictions - they help the algorithm learn your real patterns.

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