ZON/Features/acwr-analytics
Mobile App (iOS + Android) + ZON Web

Train more. Break down less.

ZON continuously calculates the Acute:Chronic Workload Ratio (ACWR) for each athlete. Identify who's in the risk zone before they get injured, not after.

The problem

"You dose training by feel. An athlete working hard isn't necessarily an athlete progressing. Chronic overload leads to injury, and you always find out too late."

01

Real-time ACWR, acute load (7d) / chronic load (28d) ratio calculated automatically

02

Optimal performance zone, visualize whether each athlete is green, yellow, or red

03

Consistency heatmap, annual session heatmap showing regularity patterns

Deep dive

ACWR, the metric professionals use

The Acute:Chronic Workload Ratio is the ratio between the last 7 days of training load (acute load) and the rolling 28-day average (chronic load). It's the reference metric used in professional sport to prevent overuse injuries.

ACWR between 0.8 and 1.3 = optimal performance zone. ACWR > 1.5 = red zone, significantly elevated injury risk.

ZON calculates this automatically for every athlete, without the coach or athlete needing to do anything extra.

What ZON measures and calculates

Session load

For every completed session, ZON calculates a training load based on:

  • Total volume (sets × reps × load)
  • Session duration
  • Declared intensity (athlete's RPE)
  • Effort type (strength, cardio, mixed)

Rolling ACWR

ZON maintains 7-day and 28-day windows continuously for each athlete and calculates the ratio. The result is displayed in the athlete profile (coach side) and in statistics (athlete side).

Collective load dashboard

On your Roster view, ZON shows the ACWR status of every athlete at a glance: green indicator (optimal zone), yellow (attention), red (overload). In seconds, you know who needs a lighter week.

The consistency calendar

Complementary to ACWR, the consistency calendar displays an annual heatmap of training days, similar to GitHub contribution graphs, but for physical performance.

At a glance:

  • High-frequency weeks vs drops
  • Recovery patterns (is there always a dip after intense periods?)
  • Consistency over 6 or 12 months

Daily check-in as a recovery signal

ACWR measures objective load. The daily check-in measures subjective recovery. ZON cross-references both:

  • Athlete in green ACWR zone but 3 consecutive high-fatigue check-ins → under-recovery alarm signal.
  • Athlete in yellow ACWR zone but positive check-ins → the body is adapting, you can maintain.

This combined reading is what distinguishes data-driven coaching from intuition-based coaching.

For coaches and for athletes

ACWR is visible on both sides:

  • Coach side: in the athlete profile on the Roster, with a collective view on the dashboard
  • Athlete side: in the Statistics section of the ZON app (iOS / Android), with a pedagogical explanation of what their zone means

The athlete understands why the program is lighter. The coach has the data to justify it.


Available on iOS and Android (private beta) for athletes, and ZON Web for coaches. Automatic calculation, no additional input required.

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