ZwiftPower has just rolled out a new feature allowing Zwifters to view the critical power curves of themselves and other riders. Here is an example from today’s KISS Sunday Night Race showing the power curves of winner Tim Cartwright and 5th place finisher Gavin Richardson.

How To Use It

Click the small green pie chart next to a rider’s name in the race results to switch to power curve view. You can then click the icon on multiple riders to compare their power curves for that event.

Want to see critical power history for a particular rider (including yourself)? It is now visible on the rider’s main profile screen. Here are top racer Greg Leo’s 5 second power numbers, for example. No wonder this guy finishes so fast!

Still Processing

Crunching all this data takes a lot of processing power, and James Hodges at ZwiftPower tells me it will take about a week to process the 200,000 efforts available in Zwift’s data history. Newer events will be processed first, so please be patient if you’re wanting to see older event data.

How Does This Help?

Your critical power curve helps you understand your strengths and weaknesses, and these become especially apparent when you compare your curve to others in a race. As a simplified example: if you’re able to hang with the pack until the end but always get dusted in the finishing sprint, chances are your 20 minute power is strong but your 5 second power is low in comparison to your opponents. While part of your power profile is genetically-influenced, you can always train to improve areas of weakness.

More importantly, knowing your critical power numbers for key intervals is the basis of most modern cycling training plans. And while critical power is available via other tools (Strava premium, for example) having it available free in ZwiftPower is pretty darn cool, since it gives us the numbers we need for our training while making it easy to assess other riders and evaluate our performance for a particular event.

Interested in training with power? Here are two books I highly recommend:

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