Training Load

Training load is a model used to quantify the dose assigned to a workout, week, or training block. It gives endurance athletes a shared language for comparing sessions and reviewing whether a plan should build, hold, recover, or adjust.

Without a load metric, it is hard to compare “a 2-hour easy ride/run” with “a 30-minute interval session”. It is also harder to see whether recent load has risen faster than recovery can absorb.

Key Metrics

Why Quantify Training Load?

1. Objective comparison: evaluate different durations and session types with a single yardstick.
2. Trend tracking: identify gradual or sudden changes in modeled weekly load.
3. Recovery context: combine load history with session quality and athlete feedback when planning training and rest.

How Training Load Supports Adaptive Planning

Training load is not the plan itself. It is the evidence layer behind better plan decisions:

• After completed workouts: actual load can be compared with planned load instead of relying only on completion status.
• During review: CTL, ATL, and TSB compare slower and faster modeled load trends; they do not directly measure fitness, fatigue, or readiness.
• Before adjustment: missed workouts, unusually high fatigue, or a fast load ramp can justify changing the next few sessions.

Trainingload.ai uses this pattern throughout the product loop: plan → completed workouts → load trend → AI coach review → confirmed adjustment.

Related Concepts

• Training Stress Score (TSS): single-session training stress.
• Intensity Factor (IF): workout intensity relative to threshold.
• Training Impulse (TRIMP): heart-rate-based internal load.
• Chronic Training Load (CTL): longer-term load trend.
• Acute Training Load (ATL): faster recent-load trend.
• Training Stress Balance (TSB): current CTL minus current ATL.