Introduction to Cycling Analytics

Introduction to Cycling Analytics

Cycling has embraced power-based analytics more than perhaps any other endurance sport. Power meters provide objective, real-time data that has revolutionized training and racing.

Why Power Matters in Cycling

• Objective measure of effort - unlike heart rate, power responds instantly
• Enables precise pacing in time trials and climbs
• Tracks fitness improvements with standardized tests
• Optimizes training intensity and recovery

Key Metrics in Cycling

• FTP (Functional Threshold Power): Maximum power sustainable for ~1 hour
• Watts/kg: Power-to-weight ratio, crucial for climbing
• Normalized Power: Weighted average accounting for variability
• TSS (Training Stress Score): Quantifies training load
• IF (Intensity Factor): Ratio of normalized power to FTP

Analytics Applications

Modern cycling analytics enables teams to optimize race strategies, predict performance on different terrains, and make data-driven decisions about pacing, nutrition, and team roles.