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In this episode Patrick Broe and Jim van den Berg, CEO of JOIN Cycling, sit down with David Bailey, Head of Performance Support at Israel Premier-Tech to discuss data analysis in cycling. The trio cover what data and metrics actually matter for evaluating your performance as a cyclist, as well as the following: Does FTP really matter for an amateur cyclist? Should you track your heart rate or something subjective like RPE? How to analyse a whole block of training? What are the key metrics to focus on for a single ride? This is the first episode in our multi-part masterclass series, bringing amateur cyclists both the basics and deep insights from the professional peloton about how to improve as a cyclist. For upcoming episodes in this series check out the link here - https://join.cc/campaigns/masterclass. Our merch has dropped! Custom designs painstakingly crafted by Louemans on t-shirts, mugs and hats with all your favourite catchphrases from the podcast. Check it out at https://shop.lanternerouge.com If you enjoy LRCP please support us by subscribing and leaving us a like and comment! You can also send us a tip here https://ko-fi.com/lanternerougecyclin... 🤗 LRCP / lanternerougecp https://shows.acast.com/6565736dd2e37... Lanterne Rouge / lanternerougecycling / the_lanterne_rouge_ / lanternerougeyt Benji Naesen / benjinaesentv / benjinaesen / benjinaesen Credits: Photos | Cor Vos (unless stated otherwise) Profiles | La Flamme Rouge Results | FirstCycling Timestamps: 0:00 | Introduction 4:15 | How to understand basic and intermediate performance data eg average power vs normalised power, intensity factor etc 16:30 | When evaluating or analysing a single ride, what are the key metrics for a cyclist to look at? 25:30 | When analysing a block of training or a rider’s overall fitness, how should one go about that? What metrics really matter and give the most information? 35:35 | How and why would you look at fatigue resistance? 43:40 | Does FTP really matter for the average cyclist, or even professional cyclists? Should riders look at their power curve instead? 51:10 | How do you see the future for data analysis? Is compound score a thing for example? 1:05:30 | Key Takeaways