In other words, try to make the colored graph touch the CP curve at all data points. Look what your theoretical 13min power should be and during a ride, target that amount. Say you have a CP curve that has not been 'tested' at a given data point, ie the colored zones don't touch the CP curve at say 13min. Maybe this is just me, but I don't think so. This is because I can generate more power on my road bike and typically use it in hilly areas where you can generate more power. I created two "athlete profiles" one for my road bike, one for my tri bike and I load the rides in the appropriate profile. Then you select the "season" and the CP curve will only be based on rides during that time range The way you get around 'stale' data, ie data that is from 6 months ago is you create something called a seasons.xml file and you put date ranges in there. The CP curve is kind of cool, but these are some of the things I have learned to do to make it useful and fun to use.įirst of all you know they "black line" is the current ride under analysis, the red line is your calculated CP curve and the other shades (with zones ) are power points you have hit in the past.If the 'zones' touch the power curve at multiple points, the chances of your CP curve being accurate is good because it's actually based on real performances If not, it might just be a "gap fill" effort. If it does, it really represents a new level of performance. For example, if all I do are 5 minute and 20 minute intervals, then I go out and PR a 7 minute interval, is that really the result of superior fitness, or just the result of doing an interval duration I'd previously neglected? The guide for this is if the 7 minute effort "pushes up" the CP curve. I like the CP curve because at least within the duration of around 2 minutes to around 30 minutes it gives me an idea if a "PR" over a given time duration is actually a quality result or not. But unfortunately other tasks got in the way of me contributing further. We talked about putting in a time limit that it would use data only from the previous N days for some N. The issue with it is it uses all of your history, while physiology is constantly changing. In GC it's a curve because it does a rolling calculation so you can know your CP at any time interval >30 seconds. So what the code does is iteratively pick pairs of time points which generate the "best" CP curve for your data. Maybe you had a super power for 4:30, but your 5:00 power isn't so hot, or you did a super 30 minute effort but your 20 minute effort wasn't your best. More common with me is you go hard up a hill of a given length, and the time it takes is variable. But the problem is you then need to have totally nailed an effort at both of those exact times. Most CP calculators ask for two fixed time durations: for example 5 minutes and 20 minutes. What GC does is use a curve-fitting algorithm described like this: (Assuming I understand all this properly! )ĬP and FTP should be comparable, usually you do a 5 minute and 20 minute test to get CP (and FTP ). So if you ride for an hour, CP, NP, FTP would be the same. CP and FTP are both max sustainable power over time, FTP is an hour, CP can be any time but is usually an hour so then they mean the same thing. If I compare a ride I did yesterday in both programs, CP and NP are the same value, but that appears to be random. Mark of the Lion (2006) ISBN 8-9.I just uploaded some power files into GC and compared them with the data I am used to seeing in PowerAgent.Jade del Cameron Mystery from Penguin Books She is a part-time instructor at Pittsburg State University in Pittsburg, Kansas. She has also written some children's and young adult titles as well as writing for newspapers and magazines including Oasis, Pockets, Cricket, Boys' Life, Christian Science Monitor, and Her Voice. Suzanne Arruda is the author of the Jade del Cameron mystery series, which follows the protagonist through her adventures on safari in Africa.
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