About Bike Analytics

Science-based cycling performance tracking, built by cyclists for cyclists

Our Mission

Bike Analytics brings professional-grade performance tracking to every cyclist. We believe that advanced metrics like Functional Threshold Power (FTP), Training Stress Score (TSS), and Performance Management Charts shouldn't be locked behind expensive platforms or require complex coaching software.

Meet the Developer

Albert Arnó

Creator

Albert Arnó created Bike Analytics out of a personal need for better cycling tracking tools. As someone who enjoys cycling and has programming knowledge, he wanted an affordable, science-based analytics tool that wasn't tied to specific hardware or cloud platforms.

Why Bike Analytics Was Created:

"I was frustrated by expensive subscriptions, vendor lock-in requiring specific devices, and lack of control over my own data. I wanted a tool that calculated FTP and TSS correctly, worked with any Apple Health-compatible device, and kept my data private. When I couldn't find it, I built it."

"Bike Analytics combines sports science (based on Coggan's FTP research and TSS methodology) with modern iOS design and complete data privacy."

Our Principles

Science First: All metrics based on peer-reviewed research. We cite our sources and show our formulas.
Privacy by Design: 100% local data processing. No servers, no accounts, no tracking. You own your data.
Platform Agnostic: Works with any Apple Health compatible device. No vendor lock-in.
Transparency: Open formulas, clear calculations, honest limitations. No black box algorithms.
Accessibility: Advanced metrics shouldn't require a degree in sports science. We explain concepts clearly.

Scientific Foundation

Bike Analytics is built on decades of peer-reviewed sports science research:

Functional Threshold Power (FTP)

Based on Dr. Andrew Coggan's research on power-based training. FTP represents the highest power a cyclist can maintain in a quasi-steady state without fatiguing, corresponding to lactate threshold.

Key Research: Coggan AR, Allen H. "Training and Racing with a Power Meter." VeloPress, 2010.

Training Stress Score (TSS)

Developed by Dr. Andrew Coggan for cycling. Quantifies training load by combining intensity (relative to FTP) and duration, providing a single number to describe training stress.

Key Research: Coggan AR, Allen H. "Training and Racing with a Power Meter." VeloPress, 2010.

Performance Management Chart (PMC)

Chronic Training Load (CTL), Acute Training Load (ATL), and Training Stress Balance (TSB) metrics. Tracks fitness, fatigue, and form over time.

Implementation: 42-day exponentially weighted moving average for CTL, 7-day for ATL. TSB = CTL - ATL.

Power-Based Training Zones

Training zones based on percentage of FTP. Used by elite cyclists and coaches worldwide to optimize training intensity and adaptation.

Standard Metrics: 7-zone system from Active Recovery (Z1) to Neuromuscular Power (Z7), each targeting specific physiological adaptations.

Development & Updates

Bike Analytics is actively developed with regular updates based on user feedback and the latest sports science research. The app is built with:

Swift & SwiftUI - Modern iOS native development
HealthKit Integration - Seamless Apple Health sync
Core Data - Efficient local data storage
Swift Charts - Beautiful, interactive data visualizations
No Third-Party Analytics - Your usage data stays private

Editorial Standards

All metrics and formulas on Bike Analytics and this website are based on peer-reviewed sports science research. We cite original sources and provide transparent calculations.

Last Content Review: October 2025

Recognition & Press

10,000+ Downloads - Trusted by competitive cyclists, masters athletes, triathletes, and coaches worldwide.

4.8★ App Store Rating - Consistently rated as one of the best cycling analytics apps.

100% Privacy-Focused - No data collection, no external servers, no user tracking.

Get in Touch

Have questions, feedback, or suggestions? We'd love to hear from you.