Overtraining Risk Score Formula

Understand the math behind the overtraining risk score. Each variable explained with a worked example.

Formulas Used

Acute:Chronic Workload Ratio

acute_chronic_ratio = acwr

Overtraining Risk Score

risk_score = min(acwr * 50 + sleep_penalty, 100)

Weekly Load Increase

weekly_increase_pct = (weekly_hours - avg_weekly_hours) / avg_weekly_hours * 100

Variables

VariableDescriptionDefault
weekly_hoursTraining Hours This Week(hours)8
avg_weekly_hoursAverage Weekly Hours (last 4 weeks)(hours)6
sleep_hoursAverage Sleep per Night(hours)7
acwrDerived value= weekly_hours / avg_weekly_hourscalculated
sleep_penaltyDerived value= sleep_hours < 7 ? (7 - sleep_hours) * 10 : 0calculated

How It Works

Acute:Chronic Workload Ratio (ACWR)

ACWR = Current Week Load / Average of Last 4 Weeks

The ACWR helps identify injury and overtraining risk.

Risk Zones

ACWRRisk 0.8 - 1.3Sweet spot (low risk) 1.3 - 1.5Moderate risk >1.5High risk <0.8Detraining zone

Poor sleep (under 7 hours) adds additional overtraining risk.

Worked Example

An athlete training 8 hours this week with a 4-week average of 6 hours, sleeping 7 hours per night.

weekly_hours = 8avg_weekly_hours = 6sleep_hours = 7
  1. 01ACWR = 8 / 6 = 1.33
  2. 02Sleep penalty = 0 (7 hours is adequate)
  3. 03Risk score = 1.33 x 50 + 0 = 67 / 100
  4. 04Load increase = (8 - 6) / 6 x 100 = 33%

Frequently Asked Questions

What is a safe training load increase?

The 10% rule suggests increasing weekly training load by no more than 10% per week. An ACWR between 0.8 and 1.3 is considered the sweet spot.

What are signs of overtraining?

Persistent fatigue, declining performance, elevated resting heart rate, poor sleep, mood changes, frequent illness, and loss of motivation are common signs.

How does sleep affect overtraining risk?

Sleep is when most physical recovery occurs. Consistently sleeping under 7 hours significantly increases injury risk and delays recovery.

Ready to run the numbers?

Open Overtraining Risk Score