In the past, it was necessary to perform all-out efforts, in laboratory conditions, to obtain one or two data points and then try to estimate a curve. Strava has the nice feature of highlighting the part of the course where the performance was achieved, as well as the power and date of the historic best. How does your cycling power output compare? The power curve is a bit easy and level 3 is the choice for use with the PowerCurve Sensor. This is probably especially true for the lower percentile levels.In addition to the best efforts for five seconds, one minute, five minutes and twenty minutes, 95% of the twenty minute best effort is shown because it’s a common estimate for FTP.

Strava has the nice feature of highlighting the part of the course where the performance was achieved, as well as the power and date of the historic best. This is consistent with the concept of a Switching the chart to watts/kg gives a profile of what kind of rider you are, as explained in this The other way to view your Power Curve comes under the analysis of a particular ride. Ireland’s Sam Bennett (Bora-Hansgrohe) had the next best peak power in Velon’s pick of the sprints, hitting 1,480w on his way to his maiden Grand Tour victory at the 2018 Giro d’Italia. I’m not sure how to finish this other than by saying that I hope you found this informative. This data fits well – astonishingly well.

Segments. Blackburn Trackstand older RX-6 3/7: An older generation of the Trackstand - a stronger power curve than the latest generation. You’ll first want to add your weight, and then you can click on the W/kg button at the top right of the graph and the values are shown as watts per a kilogram.

The steps on the right hand side result from having relatively few very long rides in the sample.Note how the Power Curve levels off over longer time periods: there was a relatively small drop from my best hour effort of 262 watts to 243 watts for more than two hours. This can be helpful in understanding the character of the ride or for checking that training objectives have been met.

The new WKO4 Power Duration model puts a new tool in your toolbox for determining Functional Threshold Power (FTP) and introduces new training metrics to help determine and measure the dose and response mechanism of training. If you don’t have Strava Premium, Golden Cheetah provides everything you need.Fill in your details below or click an icon to log in:Enter your email address to follow this blog and receive notifications of new posts by email. I realized this in a discussion with one of my junior colleagues the other day who said something to the effect of, “Regression – you told me that never works.” Additionally, there is a lot of interesting work going on in the field of data analysis for athletes, including our own SpORts (Section on OR in Sports) of INFORMS.Here I’m going to talk about two things.

All data is shown for males and females in watts and watts per kilogram.

The Power Curve shows your best average power for time periods of 1 second up to the length of your ride. Notably, the median (50th percentile) twenty minute effort in watts per kilogram for males and females is exactly the same at 3.80W/kg, which means the average male and female Cycling Analytics user should be able to ride up a mountain at about the same speed.There you go.

When I put this to the test, literally, the actual number ended up being 322 watts, which is within tolerance.Lingering question: I would be remiss in not noting the “feedback” between performance and predictions. The hump on the 6-week curve at 1:20 occurred when I raced some club mates up a slightly longer steep hill.If you want to analyse your Power Curve in more detail, you should try 

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