Load for Team Sports (or other non run/bike/swim modalities)

A few questions on planning for non triathlon modalities.

  • Is it worth adding these to the calendar in advance? If, at the start of a week, I add a Team Sport with a load of 100 for Friday, will the AI look at that and adjust anything either before or after the game?
    – if not, will it someday? Part of what I’d like from a tool like Athletica is guidance around fitting these types of sessions into my training without pushing me into over training…

  • Other modalities don’t seem to have target ranges, specifically HR, so how is load calculated? The same workout with the same zones creates significantly different load estimates for a run vs. team sport.

As a team sport (notice no icons for range indications for the intervals):

Same workout, just switching modality to run:

I believe the load is closer to the estimate provided when I set the modality to run, however upon completion of a session, the load reports as 26. Notice the mWR of -11 and stretched of time with a HR around 170 (in the upper half of zone 4 for me).

So it seems like I can’t get a good estimate up front to let the AI know that I have a significant effort planned and I can’t get a good analysis afterward to let the AI know that I worked hard. What am I doing wrong?

Anticipating a response of, “just record it as a run”: if I do that (and I will next time to see if it calculates load properly), then what is the point in having a Team Sport modality?

Thanks,
Jack

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After a couple of experiments I think the issue is the GPS data. My ‘soccer’ activity on my watch defaults to outdoor soccer (though I can switch it to indoor). And a follow up test using the ‘running’ activity (not ‘treadmill’) also had GPS data. Both had very low load calculations. Probably because the GPS data was garbage. I was indoors and changing direction a lot.

Switching to ‘cardio’ on my watch, which does not attempt to use GPS data, resulted in Athletica generating a realistic load calculation.

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Hi @jhbuchholz ,
One of our partner colleagues through the world of Sports Science is Andrew Gray at ADI. https://www.adi-data.co/
Andrew did a great podcast with Martin.
No promises, but any interest in a potential pilot project in the future?
Best,
Paul
Game Changers in Motion: Decoding Athletic Locomotion with Andrew Gray & Martin Buchheit - HiitScience

That looks interesting. And as an engineer the science behind it piques my curiosity. I’ll have a listen to the podcast to make sure I know what I may be getting myself into and get back to you in the next day or two. Whatever happens, I am very appreciative of the offer.
:folded_hands:

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@Prof - What ADI does sounds super cool. I would have loved this as club team and college player!

So, I’m interested. What do you mean by pilot project? It sounds like ADI has enough subjects to help with their research and development. Do you mean to try this sort of thing out with Athletica? Then yes!

Or perhaps to try out for myself to see if I like it? Also yes.

Thanks,
Jack

Hi Jack,
Yes - we’re just tinkering experimentally with the concept to convert multidirectional movement to a critical power curve in collaboration with Andrew at ADI. If you’re still keen, would you mind sending me a message to hello@athletica.ai with some clearly labelled files (assuming you use Garmin?) you’ve collected from team sport activities. No guarantees for anything but Andrew is game to take a look. Thanks for your interest in the name of scientific exploration :slight_smile: