Trend Assessment Builder

The Trend Assessment Builder compares a current value against multiple previous values to determine whether an athlete is improving, declining, or remaining stable over time.

Unlike a Difference Assessment, which compares against only the immediately previous value, a Trend Assessment evaluates the current value relative to a historical period consisting of multiple prior days, weeks, or months.

Comparisons can be displayed as a:

• Difference
• Percentage Difference
• Z-Score

This assessment is ideal for identifying meaningful trends while reducing the influence of normal day-to-day variability.

What is a Trend Assessment?

A Trend Assessment compares the athlete's current value against an aggregated historical period.

For example:

Current HRV = 95 ms

Average HRV over previous 7 days = 85 ms

Difference = +10 ms

Percentage Difference = +11.8%

Z-Score = Standardized deviation from the historical period

Because the comparison uses multiple previous values, the result is often more stable and meaningful than comparing against only yesterday's value.

Assessment Name

Enter a unique name for the assessment.

This name is used internally when editing, assigning, and managing layouts.

Examples:

• HRV Trend
• Wellness Trend
• Weekly Weight Trend
• Jump Performance Trend

Display Name

The column header displayed within dashboards and reports.

This can be a shortened version of the assessment name.

Examples:

• HRV Trend
• Wellness Δ
• Weight %
• Jump Trend

Assessment Field

Select the metric you want to evaluate.

Examples include:

• HRV
• Resting Heart Rate
• Body Weight
• Wellness Score
• Countermovement Jump Height
• Sprint Time
• Training Load
• Any custom assessment field

Use Most Recent Value Instead of Today's Value

Determines how the current value is selected.

Disabled

Only values recorded on the selected date are considered.

Enabled

The most recently available value is used, even if it was recorded before the selected date.

This is useful for assessments that are not collected daily.

Time Period

Determines how historical comparison values are grouped.

Day

Compare against previous days.

Example:

Current HRV compared to the previous 7 days.

Week

Compare against previous weeks.

Example:

Current weekly training load compared to the previous 4 weeks.

Month

Compare against previous months.

Example:

Current month's workload compared to the previous 3 months.

Historical Aggregation Method

Determines how values within the comparison period are reduced into a single value.

Common options include:

Average

Most commonly used.

Calculates the average of all values within the selected period.

Sum

Adds all values together.

Often used for workload metrics.

Minimum

Uses the lowest value from the comparison period.

Maximum

Uses the highest value from the comparison period.

Latest

Uses the most recent value from the comparison period.

Oldest

Uses the earliest value from the comparison period.

Number of Previous Time Periods

Determines how many previous periods are used for comparison.

Example 1

Time Period = Day

Previous Periods = 7

Current value is compared against the previous seven days.

Example 2

Time Period = Week

Previous Periods = 4

Current week is compared against the previous four weeks.

Example 3

Time Period = Month

Previous Periods = 3

Current month is compared against the previous three months.

Comparison Method

Determines how the comparison is calculated.

Difference

Displays the absolute difference between the current value and historical period.

Example:

Current HRV = 95

Historical Average = 85

Result = +10

Percentage Difference

Displays the percentage change relative to the historical period.

Example:

Current HRV = 95

Historical Average = 85

Result = +11.8%

Z-Score

Displays the standardized deviation from the historical period.

This is useful when evaluating whether a value is meaningfully different from normal variation.

Compare Against

Determines the source of the comparison values.

Previous Own Values

Compares the athlete against their own historical values.

This is the most common setting.

Group Values

Compares the athlete against group averages or aggregated team values.

Useful when evaluating athletes relative to teammates, position groups, or training groups.

Include Values After

Restricts the comparison period to values recorded after a specified date.

Common uses include:

• New season start
• Training camp start
• Rehabilitation start
• New monitoring cycle

Exclude Values After

Restricts the comparison period to values recorded before a specified date.

Useful for evaluating historical periods or archived seasons.

Value to Display

Determines which value appears within dashboards and reports.

Comparison Value

Displays the calculated trend result.

Current Value

Displays the athlete's current value.

Historical Value

Displays the comparison value used in the calculation.

Most users select Comparison Value.

Number of Decimals

Determines how values are rounded.

Icon

Allows an icon to be displayed alongside the assessment value.

Common uses include:

• Upward trends
• Downward trends
• Alert indicators
• Readiness status
• Compliance monitoring

Apply Thresholds to Comparison Value

Determines what thresholds evaluate.

Enabled

Thresholds evaluate the calculated trend result.

Example:

Current HRV = 95

Historical Average = 85

Difference = +10

Thresholds evaluate +10.

Disabled

Thresholds evaluate the current raw value instead.

Thresholds evaluate 95.

For most Trend Assessments, enabling this option is recommended.

Thresholds and Color Coding

Thresholds can be used to highlight meaningful positive or negative trends.

HRV Trend Example

Wellness Trend Example

Performance Trend Example

Common Use Cases

HRV Trend Monitoring

Compare today's HRV against the previous seven days.

Weekly Training Load Trend

Compare current workload against the previous four weeks.

Body Weight Trend

Identify gradual changes in body weight.

Jump Performance Trend

Compare current performance against recent testing history.

Example Setup

Goal: Compare today's HRV against the average of the previous 7 days.

Sample Data

Result

Percentage Difference:

((92 - 82) ÷ 82) × 100 = +12.2%

This configuration helps identify meaningful changes in athlete status by comparing current performance against a broader historical trend rather than a single previous measurement.