About
Cycling Analytics is a feature-rich web platform built to help cyclists of all levels understand, track, and improve their performance. By connecting with popular bike computers and supporting data from power meters and heart rate monitors, it ingests ride files and delivers a comprehensive suite of analytical tools through a clean, intuitive interface. At its core, the platform provides ride-by-ride breakdowns including power and heart rate summaries, GPS maps, lap and interval analysis, and interactive charts that can be zoomed and filtered. Signature features include the Power Curve Chart—showing maximum power for every time duration and comparing it to historical bests—and the Flexicharts system, which lets users build fully custom visualizations from their data. Beyond individual rides, Cycling Analytics tracks long-term trends like training load (PMC-style), power history, time-in-zone distributions, and FTP progression. A searchable Rides Table enables quick data discovery across all uploaded sessions. For coaches, the platform supports linking accounts with athletes, enabling structured training plan management, privacy-controlled ride sharing, and performance monitoring across a full roster. Developers can integrate via a dedicated API. The platform also supports data export in original formats, configurable power and heart rate zones, and Strava integration with automatic upload linking. Cycling Analytics is best suited for data-driven cyclists, competitive athletes, and coaches who want professional-grade analysis without complexity.
Key Features
- Detailed Ride Analysis: Every ride is broken down with power/HR summaries, GPS maps, lap/interval data, interactive zooming charts, and force-velocity pedalling metrics.
- Power Curve Chart: Visualise your maximum power output for every time duration and compare against your all-time historical bests to track fitness improvements.
- Training Load & Zones Tracking: Monitor cumulative training stress over time using power or heart rate, and track how much time you spend in each training zone.
- Flexicharts — Custom Visualisations: Build fully configurable custom charts from your own data to explore relationships and trends unique to your training.
- Coach-Athlete Integration & API: Coaches can link accounts with athletes for shared visibility, training plan management, and privacy-controlled data access. Developers can connect via a dedicated API.
Use Cases
- Self-coached cyclists analysing power output trends and tracking fitness improvements over a training season.
- Competitive cyclists using power curves and zone data to fine-tune pacing and peaking strategies for events.
- Coaches managing a roster of athletes, assigning training plans, and reviewing performance data from a single dashboard.
- Data-driven riders building custom Flexicharts to explore unique relationships in their training data.
- Developers integrating cycling performance data into third-party apps or dashboards via the Cycling Analytics API.
Pros
- Deep Analytical Depth: Offers a wide range of metrics—power curves, force-velocity charts, HR-power relationships, zone histograms—rivalling professional coaching software.
- Clean, User-Friendly Interface: Despite its analytical power, the calendar-based layout and well-labelled charts keep the experience approachable for new and experienced users alike.
- Coach & Team Support: Supports multi-athlete coaching workflows with account linking, training plans, and granular privacy controls on shared ride data.
- Developer API & Data Export: An API and original-format data export make it easy to integrate with other tools or extract data for custom analysis.
Cons
- Cycling-Only Focus: The platform is purpose-built for cycling and does not support other endurance sports like running, swimming, or triathlon.
- Power Meter Required for Full Value: Many of the most powerful features—power curves, FTP tracking, force analysis—are only available to riders with a power meter.
- Limited Mobile Experience: As a web-based platform, it lacks dedicated iOS or Android apps, which may limit convenience for on-the-go review.
Frequently Asked Questions
What devices and file formats does Cycling Analytics support?
Cycling Analytics supports most popular bike computers and can import ride files from a wide range of devices. Rides can also be automatically uploaded or linked from Strava.
Do I need a power meter to use Cycling Analytics?
No — a heart rate monitor is sufficient for basic tracking. However, many advanced features like power curves, FTP history, and force-velocity charts require power meter data.
Can coaches use Cycling Analytics to manage multiple athletes?
Yes. Coaches can link their account to their athletes' accounts, view ride data, assign training plans, and manage athlete performance with configurable privacy settings.
Is there an API available for developers?
Yes. Cycling Analytics provides an API for developers who want to build integrations or access their ride data programmatically.
Can I share my rides with others while keeping power and heart rate data private?
Yes. The platform includes flexible privacy controls that allow you to share rides publicly or with specific users while hiding sensitive metrics like power and heart rate.
