• Recovery watch & App

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    @nathayogi said in Recovery watch & App: @Thaler-Martin I come from Garmin, and Amazfit too. At the moment, my Race 2 is on par with Amazfit considering sleep tracking, but slightly more in line with my feelings. Clearly, Suunto is better, for me, at tracking sleep time and HR. HRV is quite equal. The worst is Garmin for me, considering sleep time accuracy and sleep score. HRV interpretation is also worse on Garmin (it takes too much time to adapt to new baseline fluctuation caused by seasons and training load, giving wrong alert in HRV status). Btw, I’m quite new with the Race 2, and have 2 nights to go before receiving HRV status. As far as I remember, Race 2 has two main issues with sleeping (and napping): Reading in a bed is recognized as a sleep (not happening with Garmin), easily adding 1-2 hours of sleep, causing issues with the calculation of Resources and other metrics Working at the desk, with a computer (even a standing desk) was recognised as naps many times No possibility to edit sleep length is a miss I guess. Fixing the above and sync - I am more than happy to jump on the Suunto board again.
  • 6 Votes
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    O
    Glad I found a post that highlighted this. I fully agree. I’m not a big fan of the UI vibrations on button presses and scrolling — I’d much rather keep haptics reserved for things that actually matter: alerts, notifications, and training cues like autolap or interval countdowns. Hopefully this level of granularity can be added in a future firmware update.
  • Race 2 battery

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    @Nigel-Taylor-0 Just completed a tempo run. Pre-run screen said 60% and 32hrs activity tracking. Run lasted 32 minutes and it used 2% battery…dropped another 1% 20 minutes after so I’d reckon it probably used about 2.5%, so I’m getting around 5% battery drop per hour with these settings. Better battery performance than my last run- I think being too knackered to be fiddling with the watch and constantly checking the screen helped!
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    J
    I create routes in Caltopo. If I import directly into Suunto App I loose the elevation data. I import into GPS Visualizer.com first and the to Suunto it adds back in the elevation data.
  • Vo2Max and cycling

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    @Turo-Jantunen +1, I miss this. Is this in the product roadmap ?
  • Interval training. Next interval notification.

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    I’d like to take this opportunity to ask a question: do these alerts sound on yours? Mine only gets a faint vibration (it would be nice if it also notified you when you leave Zonesense zones).
  • New Race 2 - heart rate awful, distances too short

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    Brad_OlwinB
    @cumbrian-runner OHR is highly dependent on the individual. For me Race2 OHR works well with steady runs and poorly on intervals. I almost always use a belt because I want better HR data. I often wear Race2 on one wrist and Vertical on the other. I get nearly identical distances and altitude gains/losses with both. I can share many instances of data if you wish.
  • Recovery status is getting lower and lower

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    As soon as I completed an interval exercise and marked it as very good, from feel perspective. The recovery status went from 31 to 51.
  • Progress / Ramp rate info

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  • Alpine ski an run counts for whole week

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    MdzOttM
    I would like to see a sum of descents (total vertical) on weekly, monthly, and yearly summary. So far, I can only see the distance, which in downhill skiing is pretty irrelevant
  • No Morning reports since 2.50.26

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    Bigb0zzB
    @gipfelkind I found the cause: the Morning Report is triggered by arm movement while I’m still in bed. If I don’t see it and leave it undismissed for an hour, it vanishes and cannot be accessed again that day.
  • Suunto Race 2 General Discussion

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    Brad_OlwinB
    @kristofkmety said in Suunto Race 2 General Discussion: Anyone heard of something they planning to integrate more datas to apple health or bevel? maybe? If you want Bevel to access Suunto data Bevel needs to initiate this. Suunto has an API that Bevel can have access to. I do not know the limits on the API or what data streams Suunto allows access to. This is not something that Suunto would initiate from their end.
  • Low step count after waking up until reboot

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    @Fabii85 yes, I have the same Problem. After Sleep! I think its the „DND“ Mode?
  • Suunto coach

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    masi0M
    @Dieter1960 is it iOS you are using with Apple Health? maybe other devide saves data into Apple Health and then Suunto takes those data out from there?
  • New OHR sensor design causing skin issues

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    OutdoorManO
    I have been experimenting with wearing a different watch to see if it’s a common issue, but this rash is keep coming back after switching back to SR2. At this point I am starting to think it’s an allergic reaction to some material on the watch itself.
  • Sleep tracking score very odd...

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  • Race 2 and Elite Directo Xr

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    VoiGASV
    @Manuel-Extreme it is, because the Elite Misuro is a Bluetooth device. Also the Ambit3 is a Bluetooth device and it works with the old watch. The issue is known and reported since months. Just not fixed https://forum.suunto.com/post/181171
  • Comparing workouts

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    SquirrelS
    @peegee said in Comparing workouts: How is this done? Same as before. In workout, scroll down to Comparisons section, under graph/zones and then select another one to compare to.
  • 0 Votes
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    MMarcelM
    For those with similar problems, there are some general posts related to the Vertical 2 model which discuss potential solutions. I’ll will update if they do work. Vertical 2 posts
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    Francesco PaganoF
    @Dieter1960 said in Subject: Feedback on Zone Sense accuracy: Short intervals and Zone 2 threshold shifts: Analyzed the data through a specialized AI model to identify physiological breakpoints I’d be curious to know which model you used. If you ask an LLM to interpret your R-R data it generally uses the same (or similar) model that DFA-alpha1 is based on, but you can then tweak the prompt to ask it to compute the data using an “adaptive” model that should be more similar to what Suunto uses. At least this is something I tried long time ago, and eventually the computation was too heavy for the model to produce a result. AI models have evolved enormously since then. Nevertheless, I no longer look at ZoneSense data during my runs, simply because it just seems to “adapt” to my intensity. If I run at my typical aerobic effort, the shift between green and yellow is very likely where I expect it to occur, but if I run something more demanding (trail, tempo, race, etc.) it puts me in the aerobic zone when I actually have ±10 bpm above my aerobic runs.

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