Todays training. Same Setting as before
I saw your annual subscription, thanks so much. That looks a lot better. Yours is an interesting use case. We could actually try to work with your data and see if we can’t improve our power match to make that better. At the very minimum, I’m going to work on better power smoothing. We’ve spent a huge amount of time in the last year just cleaning everything up and bringing our technology up to date. And now that’s all done so I can start to move forward with some of these more interesting problems like better power match and better power smoothing.
Its fixed in the latest Version, thanks for the fast reaction.
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Thanks Alex, I feel welcomed here so you’ll have to put up with me now 
What I can tell you in addition is that the feedback loop feels sluggish/slow
Let me know what you need
Thanks
You are very welcome and I love getting feedback, good and bad.
Yes, for Power Match, it takes like the last 20 seconds average and adjusts it every three seconds. And it skips averaging in the first three seconds of a larger interval change. As you can see, your power data is all over the place so you need to take kind of a long window to make sure that it’s not doing crazy adjustments. It’s not that your power meter is strange. It’s just that the nature of a pedal stroke is not a very smooth process. I think some of the really expensive power meters do like 10 readings per second which makes it possible to smooth out. But anyway, we have to design for kind of everybody.
TrainerRoad had what they called PowerMatch 1.0 for five years or longer. And then finally they came out with a PowerMatch 2 about three years ago which was a big improvement. We need to go through the same iteration. A smart power match looks at the past to predict the future.