Cycling Power-to-Weight Ratio Calculator
Calculate your cycling power-to-weight ratio (W/kg) and see which performance category you fall into.
FTP = your best sustainable power for ~1 hour. Use 20-min test result × 0.95 to estimate.
How to Use This Calculator
1. Enter your FTP (Functional Threshold Power) in watts 2. Select what type of power value you're entering (FTP, 20-min test result, etc.) 3. Enter your body weight in kg 4. Select your gender for accurate category benchmarks 5. Click Calculate
How to Find Your FTP
The Two Ways to Improve W/kg
1. Increase FTP through structured training (sweet spot, threshold intervals) 2. Reduce body weight by losing fat (while maintaining muscle mass)Most riders improve faster through training than weight loss in the short term.
Formula
W/kg = FTP (watts) ÷ body weight (kg) | FTP from 20-min test = 20-min average power × 0.95Frequently Asked Questions
What is a good FTP for cycling?
FTP varies hugely by experience. A complete beginner might have 150–200w (2.0–2.5 W/kg). A regular recreational cyclist typically sits at 200–280w (2.5–3.5 W/kg). A competitive amateur might achieve 280–380w (3.5–4.5 W/kg). Professional Tour de France riders sustain 5.5–6.2 W/kg for hours. Your W/kg matters more than raw watts for climbing performance.
How can I improve my W/kg ratio?
The two levers are more power and less weight. For power: add 2–3 structured interval sessions per week (sweet spot training is most time-efficient), aim for 10–15% FTP improvement per year as a recreational cyclist. For weight: even 3–5kg of fat loss at constant FTP meaningfully improves W/kg. Most riders find structured training more impactful than weight loss alone.
Is my indoor FTP the same as outdoor?
Most cyclists test slightly differently indoors vs outdoors. Some are 5–10% lower on an indoor trainer due to heat buildup, reduced motivation, or equipment differences. Others test higher indoors due to the controlled environment. If you train mostly indoors, use your indoor FTP. Apply a consistent method and compare like-for-like over time.
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