Training load, fitness, fatigue and form
What TSS, CTL, ATL and TSB measure, and how to read the curve without over-reading it.
One number for one workout
A two-hour easy ride and a 40-minute interval session are hard to compare by feel. Training Stress Score (TSS) puts them on one scale by combining how long you went with how hard you went, relative to your own threshold 1.
When a ride has no power data, load can still be estimated from heart rate, or from a session rating of perceived exertion multiplied by duration. Session-RPE tracks objective load closely enough to drive the same curves, which is why a run logged with nothing but a watch and an honest effort score still counts 2.
Three curves from one input
Feed daily load into a model that decays over time and you get the fitness–fatigue picture first described by Banister and colleagues 3. Every hard day adds to both a slow-moving trace and a fast-moving one, and the two are subtracted to give the third.
- Fitness (CTL) is your load averaged over roughly six weeks. It moves slowly, and it is what you have actually built.
- Fatigue (ATL) is the same load averaged over about a week. It spikes after a hard block and fades within days.
- Form (TSB) is yesterday's fitness minus yesterday's fatigue. Positive means fresh, negative means loaded.
The useful part is the asymmetry. Fatigue clears far faster than fitness fades, so cutting volume for a week or two drops one line quickly while the other barely moves. That gap is what a taper is engineering 4.
Why the rate of change matters more than the level
High chronic load, built gradually, is associated with lower injury risk rather than higher. What raises risk is a sharp jump: a week that badly outruns the previous month. The ratio between recent load and chronic load is the standard way to catch that 5 6.
Calculating that ratio with exponentially weighted averages, so the last few days count for more than the days before them, flags spikes earlier than a flat rolling average does 7.
Tapering
Across the taper literature, the pattern that produces the largest performance gain is a progressive cut in volume of roughly 40–60% over about two weeks, with intensity held and frequency only slightly reduced 8.
Cutting the hard sessions instead of the volume is the common mistake. Intensity is what preserves fitness while fatigue drains away.
What the numbers do not know
TSS treats a steady tempo hour and a shredded interval hour as roughly equivalent, and it says nothing about how a session was distributed across the week. Concentrating hard work into focused blocks produces different adaptations than smearing the same total evenly, even where the weekly load is identical 9.
- The curve does not know you slept five hours or that work is on fire.
- It cannot see muscle damage from a hilly race, so a low-TSS descent-heavy day can hurt more than the number suggests.
- A single day is noise. The direction over two or three weeks is the signal.
References
Numbered in order of first appearance. Every link goes to the original work.
- Allen & Coggan. Training and Racing with a Power Meter (2nd ed.). VeloPress. 2010.
- Foster, Florhaug, Franklin et al.. A new approach to monitoring exercise training. Journal of Strength and Conditioning Research. 2001.
- Banister, Calvert, Savage & Bach. A systems model of training for athletic performance. Australian Journal of Sports Medicine. 1975.
- Mujika & Padilla. Scientific bases for precompetition tapering strategies. Medicine & Science in Sports & Exercise. 2003.
- Gabbett. The training—injury prevention paradox: should athletes be training smarter and harder?. British Journal of Sports Medicine. 2016.
- Hulin, Gabbett, Lawson, Caputi & Sampson. The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk. British Journal of Sports Medicine. 2016.
- Murray, Gabbett, Townshend & Sampson. Calculating acute:chronic workload ratios using exponentially weighted moving averages provides a more sensitive indicator of injury likelihood than rolling averages. British Journal of Sports Medicine. 2017.
- Bosquet, Montpetit, Arvisais & Mujika. Effects of tapering on performance: a meta-analysis. Medicine & Science in Sports & Exercise. 2007.
- Rønnestad et al.. Block periodization of endurance training – a systematic review and meta-analysis. Open Access Journal of Sports Medicine. 2019.