Ride CPxx and eCPxx metrics

Feature Requests
1

Hey David,

I think it could be relevant to track the evolution of several CP values through time on the fitness page. Maybe you could add the following metrics : (1) Ride CPxx and (2) eCPxx.

(1)
I’m thinking about an anaerobic graphic on which you could track the values of CP1" CP5" CP10" CP15" CP30" CP45" CP60" of each ride when available, and an aerobic graphic where you can track other CP values, from 3 minutes to 1 or 2 hours. Maybe for duration above one hour you can consider CNP60’, the critical normalised power.

Such a graph is useful to identify what qualities has been worked along the season and when you reach your CP personal records.

(2)
I do not know if there are research results about the evolution of the CP when you do not train for these specific duration, but it could be interesting to consider an estimation of the CP for these durations. The idea is to build eCP5" , eCP1’, eCP5’ and eCP20’ just like eFTP, the values equal the personnal records and then decrease until reaching new personnal records.

Thank you for your consideration, have a nice day :wink:

2

You can get this info for an individual ride on the activity power page (capture “best efforts” for the durations you are interested in). You will get an achievement and email notification when you set a new record for the season. I have an outstanding todo list item to make those plotable on the fitness page.

You can get eCPxx more or less by looking at the model power curve value on the /power page. Tick the “Show model power curve” box in “Options” and look on the marker flag.

3

Nice as if there was an option to track the best power at a given time. In custom charts, for example.
Something like that

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2 Likes
4

Yes that’s exactly what I was talking about.

5

Yes I think the model power curve is able to give the information about eCPxx, but you have to move the cursor along the curve to get the value. Maybe you could add an optional column on the associated critical power table dedicated to the values given by the model.