Aerobic Performance Modeling
Endurance performance analytics · Beta
Garmin-connected · Research-oriented

Modeling your aerobic performance from real training data.

Aerobic Performance Modeling connects to your Garmin account and turns long-term endurance training data into individualized models of threshold, durability, and training adaptation — built for athletes and coaches who care about physiology, not just dashboards.

Initial focus: cycling & other continuous endurance sports Minimal data scopes · Activity + HR + power + cadence + laps

What Aerobic Performance Modeling does

The platform is designed to answer a simple question: “How is my aerobic system actually adapting to the training I’m doing?” Instead of just plotting best efforts, it models the whole training history.

Focus: long-term aerobic adaptation

Using your Garmin endurance activities, Aerobic Performance Modeling builds individualized models of:

  • Power–heart rate relationships across different conditions
  • Aerobic durability and cardiac drift on long sessions
  • Training load versus changes in threshold and performance
  • Signs of improvement, stagnation, or accumulated fatigue

The goal is not to replace existing training platforms, but to add a deeper, model-driven layer on top of the data you already collect.

How it works

  • 1. Connect your Garmin account
    You authorize access through Garmin’s official OAuth system. No passwords are ever shared.
  • 2. Ingest & clean your activities
    Relevant endurance sessions (e.g., cycling) are imported with their time-series HR, power, cadence, laps, and training effect metrics.
  • 3. Build individualized models
    The system fits models of your performance over time, letting you see how training actually shifts your aerobic capabilities.

Who it’s for

Aerobic Performance Modeling is built for data-driven endurance athletes and coaches who want deeper insight into adaptation and durability — not just another summary view of the same metrics.

Ideal users

  • High-volume cyclists training for long events or durability
  • Triathletes and ultra-endurance athletes
  • Coaches who want objective, longitudinal models for their athletes
  • Athletes who already track power, heart rate, and structured training
Endurance performance Durability modeling Longitudinal analysis

Key capabilities

  • Track how your power–HR relationship shifts with training blocks
  • Assess how long you can hold meaningful power before drift & fatigue
  • Relate volume, intensity, and heat to real performance outcomes
  • Identify when training is improving performance vs. just adding strain

Data & privacy

Because Aerobic Performance Modeling works with training and physiological data, privacy is a core design constraint, not an afterthought.

Minimal, purpose-built data access

The platform is intentionally scoped to the data needed for aerobic performance modeling:

  • Activity summaries for endurance sessions
  • Time-series heart rate, power, cadence, and related fields
  • Lap and interval markers
  • Training load / training effect metrics where available

No advertising data, contact lists, or unrelated personal content are accessed. Data is used exclusively to provide analytics back to the user (and, optionally, their coach).

Security, control, and deletion

  • Access only via Garmin’s OAuth consent flow
  • Data transmitted over HTTPS and stored in encrypted form
  • No selling or sharing of data with advertisers or brokers
  • Users can revoke access at any time via Garmin Connect
  • Users may request full deletion of their data from the platform

A full Privacy Policy will be available on this site and updated as the platform evolves.

Beta access & contact

Aerobic Performance Modeling is currently in an early beta phase while the modeling pipeline and visualization layers are refined. A small number of athletes and coaches are being onboarded gradually.

Request beta access

If you are an endurance athlete or coach interested in longitudinal performance modeling using Garmin data, you can request beta access or ask questions by email:

In your message, it’s helpful (but not required) to include a brief note about your sport focus (e.g., cycling, triathlon), typical weekly training volume, and what you’d most like to learn from performance modeling.