4 Weeks Free Access (cancel anytime)
Monitoring and reportingUpdated Jun 28, 2026

Training Load tab

Use the Training Load tab to review RPE-based load, ACWR, monotony, strain, and athlete-level load outliers.

What the Training Load tab is for

The Training Load tab is where session RPE becomes a coaching review. Use it to find load spikes, compare athletes, and prepare staff decisions around rotation, recovery, and return to play.

  1. Read team loadMetric cards and the trend chart.
  2. Compare athletesLoad table, columns, session date, flags.
  3. Act on gapsMissing RPE, ACWR settings, and follow-up.

Read team load first

Start with the cards across the top. They summarize team RPE, maximum and minimum effort, ACWR, monotony, strain, and training minutes for the selected range.

Then read the Training Load Trend. Toggle the metrics you need before a staff meeting: load shows volume, ACWR shows acute versus chronic balance, and monotony helps you spot repeated similar loads without enough variation.

Training Load tab showing summary cards, Training Load Trend chart, and athlete table.
Use the chart to see whether the squad load is rising, falling, or holding steady across the selected period.

Compare athletes in the table

The athlete table is where you find out who is driving the team trend. Sort or scan for high weekly load, ACWR changes, and flags. Use Columns when you need to add and remove columns to the table.

You can also use the session date selector to filter the table by session date.

Training Load table with athlete-level weekly load and ACWR values.
The table turns team load into individual follow-up: who spiked, who is underloaded, and who needs context.

What to do next

When load looks wrong, check the input first. Athletes submit RPE from the mobile app after sessions; see session RPE for that workflow. If entries are missing or incorrect, manage them from response monitoring.

When load is accurate but the zones do not match your ACWR model, see ACWR and load metrics and dashboard preferences.

Do more with Fractall