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Training Analysis

Training analysis for endurance athletes

Training is a curated workspace for understanding your current workload in context: compare it with your usual training, see what changed, and inspect the evidence behind readiness, performance, and long-session durability.

Training readinessEight sport familiesGravity MTBContext summariesDurabilityBest build

Current Context

See the training pattern, not just the latest workout

Training turns already imported or uploaded activity data into a readable current-versus-usual picture. It is context for your decisions, not a workout prescription or medical score.

28-day training comparison

Compare current sessions and training time with a normalized preceding 84-day reference, with unavailable data kept explicit instead of shown as zero.

Readiness and recovery context

Review current load alongside recorded sleep, HRV, and overnight heart-rate evidence when those signals are available from connected providers.

What drove the change

See parent-event load, top contributors, sport-specific load changes, and training rhythm without hiding other eligible sports from the overall explanation.

Discipline Evidence

Keep sport-specific evidence in the right context

Eight conservative sport families keep materially different contexts separate, including individual registered legs from multisport activities.

Power and capacity evidence

Inspect imported Running and Cycling FTP/VO₂ max provenance, power-profile retention, and exact-type CP, W′, and Pmax capacity from the preceding 42 completed UTC days where stored power curves support it.

Pool and open-water swimming

Review twelve weeks of pool and open-water pace separately, with comparable SWOLF context when active swim lengths provide it.

Context-aware sport summaries

Keep indoor and on-water rowing, snow and roller skiing, walking and hiking, paddling types, and gravity MTB contexts separate. Downhill and Enduro use recorded volume, descent, jump count, and longest-jump evidence without invented run segmentation.

Historical Evidence

Compare a build deliberately, then keep limitations visible

The workspace favors comparable evidence over oversized charts or invented estimates, so a historical reference and long-session trend remain understandable.

Best build vs now

Choose one 8-, 10-, or 12-week historical benchmark per sport and compare workload, intensity, available sleep context, and matching durability evidence.

Long-session durability

Track eligible steady aerobic sessions with matching output and heart-rate evidence. Weeks without comparable sessions explain why they are unavailable.

Honest missing-data states

Missing TSS, zones, power, heart rate, pace, sleep, and durability evidence stays unavailable rather than becoming a misleading zero or generic score.

FAQ

Training Analysis FAQ

What data does Training use?

Training uses derived snapshots built from activities already imported or uploaded to your private Quantified Self account. The browser does not reparse source files or query raw activity history to calculate the workspace.

Which sports does Training support?

Training supports eight conservative families: Running; Cycling including road, indoor, virtual, e-bike, standard MTB, Enduro, and Downhill; Pool and Open Water Swimming; indoor and on-water Rowing; Walking and Hiking; Nordic and Roller Skiing; Strength; and Paddling. Multisport files are split into their registered activity legs when available. Nearby unlisted sports remain Other rather than being guessed into a family.

Does Training tell me what workout to do?

No. Training presents load, readiness, sleep, and performance evidence as context. It does not prescribe workouts, diagnose health conditions, or turn missing data into a recommendation.

How is Training different from the Dashboard?

Dashboard remains the configurable place for charts, maps, and tiles. Training is a fixed, curated analytical workspace that combines related evidence into a consistent current, historical, and discipline-specific view.

Next Step

Start with the work you already recorded

Connect the services you use or upload activity files, then open Training to see your current workload in context without changing your Dashboard layout.