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Training Load Guide

How QuickMeet measures training load, computes ACWR, and flags injury risk for your team.

Load Score

Every workout item that has a distance contributes a load score — a single number that captures how much physiological work the item requires.

Volume   = Reps × Distance (meters)

Intensity = Effort % ÷ 100  (default 1.0 when no effort is set)

Load = Volume × Intensity

A day's total load is the sum of all items scheduled that day. Items with no distance (drills, strength work, conditioning) are excluded because they can't be normalized to a common unit.

Example

A session with 4×400m at 80% effort and 2×200m at 95% effort:

  • 4 × 400 × 0.80 = 1,280 units
  • 2 × 200 × 0.95 = 380 units
  • Total session load = 1,660 units

ACWR — Acute:Chronic Workload Ratio

ACWR is a widely-used sports science metric that compares an athlete's recent load (acute) to their longer-term baseline load (chronic). The ratio captures whether training is ramping up faster than the body can adapt.

Acute   = recent load (last ~7 days)

Chronic = baseline load (last ~28 days)

ACWR = Acute ÷ Chronic

  • ACWR = 1.0 — recent load exactly matches the established baseline.
  • ACWR < 1.0 — athlete is doing less than usual (deload or undertraining).
  • ACWR > 1.0 — athlete is doing more than their baseline — the higher the ratio, the greater the spike.

Calculation Models

QuickMeet offers two ways to compute acute and chronic load. Both ask the same question (“how does recent load compare to baseline?”) but differ in how they weight history.

Rolling Average

Acute   = sum of daily load (days 1–7) ÷ 7

Chronic = sum of daily load (days 1–28) ÷ 28

Simple and transparent. Each of the last 28 days carries equal weight. A hard training day three weeks ago counts the same as one yesterday. This makes it predictable but also slower to react to recent changes.

Good for: coaches who want a conservative, easy-to-explain number.

EWMA (Exponentially Weighted Moving Average)

αacute   = 2 ÷ (7 + 1) = 0.25

αchronic = 2 ÷ (28 + 1) ≈ 0.069

Each day: EWMA = α × today + (1 − α) × yesterday's EWMA

Weights recent days more than distant ones — yesterday matters more than last week, which matters more than last month. This makes it more responsive to load changes and is widely used in professional sports science. Uses 90 days of history to initialize the filter.

Good for: coaches who want an early signal when load is spiking or dropping.

You can toggle between models on the Training Load page. The dashboard summary card always uses Rolling Average.

Risk Zones

Risk zones are thresholds drawn from peer-reviewed sports science research (Hulin et al., Gabbett et al.) linking ACWR values to injury likelihood.

ACWRZoneWhat it means
< 0.8UndertrainingLoad is below the chronic baseline. Fitness adaptations may be stalling or reversing.
0.8 – 1.3OptimalThe sweet spot. Load is building progressively without overloading the system. Injury risk is lowest here.
1.3 – 1.5CautionRecent training is outpacing what the body is adapted to. Monitor for fatigue and soreness. Consider backing off if this persists.
> 1.5High RiskA significant load spike. Research associates this range with meaningfully elevated injury rates. Reduce intensity or volume.
Important: ACWR is one signal, not a diagnosis. Individual athlete history, sleep, nutrition, and stress all affect injury risk. Use these zones as a conversation starter, not a rule.

Low Data Warning

ACWR requires a meaningful training history to produce reliable numbers. When any athlete or group has fewer than 14 days of recorded load, a warning banner appears at the top of the Training Load page. The banner also shows how many more training days are needed before the first warning clears.

This commonly occurs at the start of a season. If athletes were training on their own during the off-season, the system has no record of that volume. The result is an artificially low chronic load — which can make a normal early-season workload look like a dangerous spike. The ACWR values are still displayed, but treat them as directional rather than definitive during this window.

The banner disappears automatically once all groups and athletes have at least 14 days of load history — no action required beyond logging workouts consistently.

What you can do

  • Log workouts from day one. The warning clears automatically once 14 days of training are on record. The more consistently you enter workouts, the sooner the ACWR becomes reliable.
  • Use EWMA at the start of a season. Because EWMA weights recent days more heavily, it adapts to new data faster than Rolling Average and is less sensitive to the cold-start problem.
  • Focus on absolute load during the warning period. The load score itself is accurate from day one — only the ratio (ACWR) is unreliable until sufficient history exists. Use total daily load to gauge whether volume is appropriate.

Tips for Coaches

  • Log workouts consistently. ACWR is only as good as the data behind it. Even weeks with lighter training should be entered so the chronic baseline stays accurate.
  • Don't spike load after a rest week. A week off drops the chronic baseline. The first hard week back will produce a high ACWR even if it looks normal compared to pre-rest levels.
  • Watch groups, not just individuals. If an entire group is in the Caution or High Risk zone, the training plan itself may need adjustment — not just individual athlete management.
  • Rolling Avg for stable seasons, EWMA for transitions. EWMA picks up on load changes faster, making it useful at the start of a season, during peaking, or during a taper.
  • ACWR is one data point. Combine it with attendance records, athlete-reported wellness, and your own coaching judgment.

Based on training load research by Hulin et al. and Gabbett et al. ACWR thresholds are guidelines, not medical advice.

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