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Monitoring and reportingUpdated Jun 27, 2026

Dashboard preferences

Set ACWR calculation method and risk zone thresholds so load metrics match your own model.

When to adjust preferences

Fractall ships with sensible ACWR defaults. Use this page when you want a specific calculation method or custom risk zone thresholds.

  1. Pick an ACWR methodCoupled vs uncoupled, 21- or 28-day windows.
  2. Set thresholdsUndertraining, risk minimum, and risk maximum.
  3. Save or resetChanges apply to Wellness & Load widgets immediately.

Open Dashboard Preferences

From Wellness & Load, click the gear icon next to the title. You can also expand Wellness & Load and open Dashboard Preferences directly from the sidebar.

Dashboard Preferences page with ACWR calculation method options and threshold fields.
One screen controls how ACWR is calculated and which zones flag in Wellness & Load.

ACWR calculation method

Choose how Fractall compares acute load to chronic load:

  • Coupled 21 / Coupled 28 β€” acute and chronic windows use overlapping days.
  • Uncoupled 21 / Uncoupled 28 β€” windows do not overlap.

The number (21 or 28) is the chronic window length in days. Pick the method you prefer.

Risk zone thresholds

Three fields control how ACWR zones appear in Wellness & Load:

  • Undertraining Threshold β€” values below this mark under-training on ACWR widgets.
  • Risk Zone Minimum β€” values at or above this mark enter the risk zone.
  • Risk Zone Maximum (overtraining threshold) β€” values above this mark move from risk into overtraining.

The sweet spot sits between undertraining and the start of the risk zone. Red and yellow flags on Overview and load tables use these boundaries.

Save or reset

Click Save to apply changes across ACWR widgets on the Training Load tab. Click Cancel to discard unsaved edits.

Click Reset to Defaults to restore Fractall's built-in method and thresholds.

Preferences are team-scoped

Changes apply to the active team. If you run multiple squads in one organization, set preferences per team when their load models differ.

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