Core run record
12 fields
- Distance
- Duration
- Pace
- Grade-adjusted pace
- Heart rate
- Cadence
- Elevation
- Route
- Splits
- Classification
- Tags
- Recording source
METHODOLOGY
Measure what the run can support.
Understand the effort, consistency and progress behind your running. Runome brings detailed measurements together with clear explanations and context.
Everything attached
to a run.
Availability depends on the original sensor evidence. A metric is shown only when its required inputs pass the relevant checks.
Running economy
7 metrics
- HR cost
- Aerobic efficiency
- Efficiency factor
- VO₂max estimate
- Pace cost
- Economy variability
- Late efficiency change
Stress & durability
7 metrics
- TRIMP
- TRIMP rate
- HR drift
- Aerobic decoupling
- Fatigue resistance
- Cardiac stress
- Late HR-cost change
Form & rhythm
6 metrics
- Average cadence
- Cadence stability
- Stride length
- Stride drift
- Late rhythm change
- Stream confidence
Terrain
6 metrics
- Grade-adjusted pace
- Elevation gain
- VAM
- Climb efficiency
- Terrain score
- Route pace & HR overlay
Training state
8 signals
- Fitness (CTL)
- Fatigue (ATL)
- Form (TSB)
- Momentum
- Recovery
- Run Quality
- Training mix
- Zone distribution
Clear inputs.
Visible limits.
Know what a metric describes, where to find its supporting measurements and how to read it alongside your training.
Training load in time
Recent run timing, frequency and heart-rate-derived TRIMP feed chronic load, acute load and training-stress balance. It cannot see soreness, illness, pain or today’s sleep.
Comparable evidence first
Explore how efficiently and consistently a run unfolded, with the supporting pace, heart-rate and movement data close at hand.
A running estimate
Follow an estimate of aerobic fitness alongside your running history. An app estimate is different from a laboratory measurement.
Easy, tempo or interval
Keep easy runs, tempo efforts and interval sessions organized by their purpose. Review the suggested classification and change it when needed.
Evidence, not a guarantee
Recent volume, long-run distance, frequency, consistency and recency are considered. Target-time readiness also compares the goal with current performance evidence.
Adapt the future
Follow a plan that adapts to completed training. Keep upcoming sessions aligned with your goal and available running days.
Thirteen signals
followed over time.
Trend availability depends on enough comparable runs with the required evidence. Views can be grouped by run, rolling trend, week or month.
- 01VO₂max
- 02Run Quality
- 03HR Cost
- 04Aerobic efficiency
- 05Efficiency factor
- 06Fatigue resistance
- 07HR drift
- 08Fitness CTL
- 09Pace consistency
- 10Pace
- 11Easy-run pace
- 12Tempo-run pace
- 13Average heart rate
InterpretationMeasured, derived and estimated values are distinguished. Missing streams, optical heart-rate errors, GPS drift, pauses, profile settings and varied terrain can affect results. Comparable trends are usually more useful than one isolated value.
Questions behind your running numbers
Start with the question you want your data to answer.
RUNNING QUESTIONS
Why is my heart rate higher at the same running pace?
The same pace does not always mean the same effort. A higher reading can reflect conditions, recent training or the recording itself; one run cannot tell you which.
RUNNING QUESTIONSWhy is my VO₂max dropping when I am running faster?
Your finish time is an observation. A watch or app VO₂max value is an estimate. When they move in different directions, review the evidence behind each before changing your training.
METRIC DEFINITIONSHeart-rate drift versus aerobic decoupling
Heart rate can rise while speed stays steady, or speed can fall while heart rate stays steady. Drift and decoupling describe different parts of that relationship.
SENSOR CONTEXTCadence lock and heart-rate spikes: how to check your running data
A surprising heart-rate trace can affect several downstream metrics. First check the recording; avoid assigning a physiological explanation from its shape alone.