QueueR wrote:
Right, I've tried to share all of this in a post but cannot work out links on this forum. Worst formatting I've ever come across.... 😅Have given up and put everything into a Google Doc!
As mentioned previously, I like doing research. Whether or not this supports any kind of write-up/book, I found the following interesting and thought I'd share. Apologies if any of this has already been discussed and I've just missed it.
“ I used ChatGPT to derive a formula from this graph and got 5k time (in seconds) = -5.6431 × CTL + 1338.91. Now it's not going to be exactly right because it's ChatGPT…. but I bet it's not miles off what Sirpoc would get using the actual numbers.
I suspect this doesn't hold up for low CTL levels (as in cycling) or at very high levels (because you obviously can't improve forever).
I'd also bet quite a lot that this relationship is unique to Sirpoc (everyone will have their own untrained FTP and k values), but that the general formula holds true across most (all?) runners.from this graph and got 5k time (in seconds) = -5.6431 × CTL + 1338.91. Now it's not going to be exactly right because it's ChatGPT…. but I bet it's not miles off what Sirpoc would get using the actual numbers.
I suspect this doesn't hold up for low CTL levels (as in cycling) or at very high levels (because you obviously can't improve forever).
I'd also bet quite a lot that this relationship is unique to Sirpoc (everyone will have their own untrained FTP and k values), but that the general formula holds true across most (all?) runners.”
looking back at my past performances and CTL, for the same CTL now (other than age now 44) the difference is my weight for a given CTL and pace.
so I assume once you get to a certain performance of CTL, then yhr K value is a combination of leg/calf length and weight.
Work that out and you probably have a very predictor across anyone, some big data analysis required I guess.