Stryd footpod review
Stryd is one of the most useful and impressive running technologies available. It's a Footpod that analyzes the movement of your foot with greater accuracy than most traditional Footpods. While a lot of the Stryd marketing focuses on their "running power meter" functionality, I see the greatest value coming from their accurate measurement of pace and distance. If you look at my testing of GPS Accuracy, you will see that Stryd gives a far more accurate measurement of distance than any GPS watch. It accurate enough that it really doesn't need any calibration, and unlike GPS, it should work in any situation. Not only is it providing accurate distance measurement, but it provides real-time pace, something that's impractical to achieve with any GPS device. While I believe Running Power Meters are quite different to cycling power meters and are more of a "power estimate" than a meter, I think that if you understand their limitations they can still be useful. At $200 I think that Stryd is good value for money, and it's one of the few running devices that I would replace unhesitatingly if I lost it. Currently Stryd is only available via their web site. (I don't have any affiliate or sales link with Stryd.)
Contents
1 The Metrics
Stryd provides an array of different metrics, which vary both in accuracy and usefulness.
- Pace and Distance. My testing has shown that the Stryd is stunningly accurate in its measurement of distance. It's the only Footpod that is accurate enough that it doesn't require calibration, something that greatly improves its usability. If you look at my testing of GPS Accuracy you'll see that the Stryd is right at the top of the chart, and is far more accurate than any GPS device I've tested. This accuracy is also reflected in its measurement of current running pace. I think that this feature alone makes the Stryd good value for money.
- Elevation. I suspect that Stryd is providing remarkably accurate elevation information. Due to limitations on data export I've not been able to perform any statistical evaluation, but anecdotally the data looks really good. Obviously, the Stryd cannot provide any absolute altitude information, but it does seem to be able to measure relative changes far better than either GPS or barometric altimeter's. At the moment, this information is not as directly usable as I'd like, as it's only available in real time via their, not their watch integration.
- Running Power. As I talk about in my page on Running Power Meters, I believe that they are a flawed concept, but if you understand the limitations they can still be useful. So, Stryd it does not actually measure running power, but attempts to estimate what the power would be based on the things it can measure. My assumption is that it is mostly using pace and elevation change, possibly along with Cadence or Ground Contact Time. As discussed in the section below on the testing running power, I have found that the Stryd seems to give a reasonable estimate of relative intensity for flat and uphill running, but seems to underestimate relative intensity on the downhill sections. I've found that with some testing to understand the limitations, I've been able to use Stryd to more effectively pace myself on hilly runs.
- Form Power. Stryd describing this metric as the "running in place power", but it's unclear what that really means more if it has any value. They suggest that a decrease in this value represents improved Running Economy, but there is nothing to back that up.
- Cadence. Cadence is fairly trivial to measure for even a far simpler Footpod, so Stryd nails this easily. It's arguably one of the most important running metrics, so you should pay attention to this. There are far cheaper ways of measuring cadence (like MilestonePod) but it's nice to have this included in the Stryd.
- Ground Contact Time. Ground Contact Time is how long each foot spends on the ground, and it's frequently suggested that a lower value represents a better Running Economy though the research is mixed.
- Vertical Oscillation. Because Stryd is a Footpod, it has no way of measuring Vertical Oscillation. Therefore, Stryd is estimating vertical oscillation from things like Cadence and Ground Contact Time. My testing indicates that Stryd is underestimating my vertical oscillation, which is perhaps not a surprise given this is only a mathematical model. Stryd suggests that this is because they are measuring the vertical movement of the runners' center of gravity rather than just the torso, but the research suggests that should be no difference between the two measurements while running.
- Leg Stiffness. It's possible to model a runner with their legs representing a spring and the rest of the body as a mass. When a runner lands, they decelerate their bodies vertical movement and the rate of deceleration can be used to estimate the stiffness of the "spring". The stiffness of this hypothetical spring is related to Cadence, with a higher cadence having a stiffer spring. The preponderance of evidence suggests that a stiffer leg stiffness is more efficient, and that fatigue tends to soften the stiffness. There are various ways of estimating leg stiffness, such as measuring the vertical ground reaction force and vertical movement. This gives the force applied and the amount of deformation of the "spring", resulting in a reasonable estimation of stiffness. Another approach is to use ground contact time and cadence, which is how I suspect Stryd is estimating stiffness. Personally, I suspect that this is an overly simplistic model.
Note that Stryd provides no information on foot strike parameters such as pronation, or foot landing position.
2 The Pod
The Stryd pod is similar to other Footpods. It's slightly larger than most, and has an LED status light on the top. Stryd uses a rechargeable battery that they claim lasts about 20 hours. That's good enough for most runners, but may be a problem for longer ultramarathons. Stryd recharges wirelessly, which is nice, as I hate fiddling around with connectors or losing specialist cables. Stryd uses a 9-axis sensor rather than the typical Footpod that uses a 3-axis sensor. The Stryd pod weighs 0.32oz/9.1g, compared with the Garmin Footpod at 0.34oz/9.6g, and the rather oversized Polar Footpod at 1.0oz/28.1g.
3 Watch Support
Stryd has support for a remarkable number of running watches. It supports both Bluetooth and Ant+, and it can look like a standard Footpod, a cycling power meter, or provide more sophisticated data. There are a large number of combinations of watches and configurations to consider, so I'll look at the general integration approaches and then look at specific watches.
3.1 Types of Watch Integration
- Footpod. Stryd can send standard Footpod data over both Bluetooth and Ant, giving the usual distance, pace, and cadence data. You can use it like this to get accurate distance, pace and Cadence data into the vast majority of watches I've tested. However, only a few watches will support this while recording a GPS track, and so most will need to be in indoor/treadmill mode. This means there's two modes to consider:
- Footpod with GPS. This is the ideal mode; you have your watch get all distance and pace data from Stryd, while still recording a GPS track. This will allow you to show where you've run, enable any navigation like back to start or breadcrumbs, and for things like Strava segments.
- Footpod without GPS. If your watch doesn't support the above "Footpod with GPS" mode, you have to set it to running indoors or treadmill mode where you lose all the GPS data. This works, but may not be what you want.
- Footpod with Power in Cadence. This is similar to the above scenario, but Stryd will put power into the Cadence field. That gives you access to its power estimate on a wide range of watches, but there are two significant downsides. Firstly, you don't get Cadence information, which is arguably rather more important than an estimate of power unless you're really confident that your cadence is good. Secondly, because of the underlying protocols, the Cadence field has a range of 0-255, and power estimates can be quite a bit larger. Therefore, stride divides the actual power by 10, so 210 watts will appear as 21 steps/minute. Therefore, you lose a little bit of granularity, though in practice I don't think that's a huge deal.
- Cycling Power Meter. Stryd can send the same data that a cycling power meter would, so any watch that supports the cycling power meter will support stride in the same way. This gives some good support for power, and in indoor cycling mode you should be able to get pace, distance, and cadence data from the stride as well. There are a few annoyances with this approach, the biggest one being that you get your speed in MPH or KPH rather than min/mile or min/Km which would take some getting used to if you're a runner that used to thinking in terms of pace rather than speed. The other annoyance is that all of your data files will be considered as cycling rather than running, which could confuse your training log.
- Connect IQ. The advantages of Garmin's Connect IQ are shown in the ability for Stryd to add their sensor to any Garmin watch that supports Connect IQ. If you install the Stryd Connect IQ data field, it will show the power estimate, as well as recording all of the Stryd data into the fit file. Using this data field does not stop you using the Stryd as a normal Footpod at the same time. Because the Connect IQ only gives you the power, you still have two modes of Footpod integration, giving you two modes:
- Connect IQ + Footpod with GPS. The perfect solution; you get all the Stryd data, the distance/pace accuracy, and GPS for navigation.
- Connect IQ + Footpod without GPS. On the lower end Connect IQ enabled watches you have to set them to indoor/treadmill mode, so you get all the Stryd data, the distance/pace accuracy, but you don't have any GPS data.
- Direct Integration. The Suunto Spartan Ultra has explicit support for the Stryd, which should be ideal. However, even when this worked it only showed the power estimate, not the other data and didn't support the "Footpod with GPS" mode. Sadly, right now I couldn't get the latest firmware to work with Stryd in running modes.
3.2 Watch Support
This section will follow soon.
3.3 Bluetooth or Ant+
Stryd supports both Bluetooth and Ant+, and both work well. Bluetooth has the limitation that you can only have one receiver talking to Stryd at a time, so you can't have it linked to two different watches simultaneously, or to a watch and your smart phone at the same time. (I have had occasions where the Stryd has stayed linked to my smart phone, so I've had to turn off Bluetooth on my phone to allow Stryd to link to a watch.) With Ant+ you can have as many watches linked simultaneously, and it's possible to have Stryd linked to both one Bluetooth watch and several Ant+ watches at the same time. If you're using Garmin Connect IQ, you can have Stryd work as both a standard Footpod and connected via the Connect IQ data field.
4 The App
5 The Web Site
I rather like the Stryd website. There's the usual calendar views of your runs, but there is some useful analysis you can do within their website. The biggest shortcoming I've found is that you can only show data by time, not by distance. If you look at the first graph below the hill shown by the purple line looks asymmetric because I'm going down much faster than I'm going up.
6 Data Analysis
Because Stryd is compatible with so many watches, it's fairly easy to get most of the data into an app for analysis.
- Pace and Distance. If you have your watch set to take a distance from the Stryd, you'll naturally have access to distance in pretty much any application you can get your data into. Because you have accurate distance, you should have accurate pace to analyze as well.
- Running Power. Getting power into an application for analysis will depend on which watch you are using and how you got it configured. If you're pretending this is a cycling power meter, then everything should work just as it would for cycling power. If you're using the Garmin Connect IQ data field, then you'll need to have an application that supports importing customer data. I found that Golden Cheetah worked fine. If you're getting power as Cadence, then most applications should be able to handle that, but obviously you'll have it in the cadence field and it will be 10x lower (210w will be 21 steps/minute.)
- Cadence. Cadence is well supported by pretty much any analysis application, unless of course, your using the cadence field for power. Note that the Garmin Connect IQ data field will record the cadence value from the Footpod in addition to any other Cadence device.
- Elevation. I've found it tough to get elevation data into an analysis application. I'll update you if I find a good way of doing this.
- Form Power, Ground Contact Time, Vertical Oscillation, Leg Stiffness. These fields are all available via the Garmin Connect IQ data field, and can be viewed using Garman Connect.
7 Testing Distance and Pace
I tested the distant accuracy of the Stryd using the same basic methodology as I do for my GPS Accuracy testing. (See GPS Testing Methodology for details.) I used a Polar M400 configured to use the distance from the Stryd footpod. As you can see from the results, the Stryd is remarkably accurate, far better than any GPS device I've tested. My testing of pace is more anecdotal, but I've been able to hit my target paces using guidance from my Stryd. I've tested using a range of paces from 10:00 min/mile to 6:30 min/mile and the Stryd allows me to cover a given distance in just the right time.
8 Treadmill Problems
The Stryd is so accurate outdoors, I couldn't understand why it was so bad on a treadmill. To my chagrin, I discovered that the Stryd Footpod was right, and my treadmill was wrong. Accurately calibrating a treadmill proves to be rather more complex than I'd have expected, as the treadmill will slow down when your foot is in contact with the belt, then speed up when you're in the air. For details on how to evaluate your treadmill have a read of Treadmill Calibration.
9 Testing Running Power
I don't view Stryd as a "power meter", but a way of estimating relative training intensities, rather like Heart Rate. There are some important benefits to using Stryd over heart rate for estimating relative training intensity. The graph below is showing a run up and back down a local hill. It's not a very long Hill, but it is fairly steep, averaging 6% with sections nearer 10%. The first graph below shows me running hard up the hill, then resting on the way back down. You can see that both my heart rate and power estimate rise on the uphill and decline on the downhill. You'll notice that my heart rate response rather slower to the change in intensity than the power estimate, making it more useful for providing a useful, real-time estimate of intensity.
Another interesting use for Stryd is to provide more even pacing on hilly courses. The graph below shows me attempting to keep an even effort based on the Stryd power estimate. My goal was to keep my intensity at about the same level as a running at 8:30 min/mile pace on level ground, which at the time of this run is about 200-210 watts and about 135-140 BPM heart rate. You can see that I was moderately successful, though both my heart rate and estimated power were a higher than my target. I was surprised by just how slow I had to go up the hill to compensate for the slope. You can see this more accurately in the lower image that's looking at the Stryd pace data. Even though my pace has dropped to 12:18 min/mile my heart rate and estimated power are both well above target. This means that to go up this hill with the same effort as 8:30 min/mile on the flat, I'd need to drop to quite a bit slower than 12:30 min/mile pace. Here the estimated power data is far more usable than heart rate, as I can tweak my pace moment by moment rather than waiting for my heart rate to adjust. I found that in practice, the Stryd estimated power output is remarkably effective at giving me real-time feedback of my exercise intensity on level ground and uphill. Though this is still a modeled, estimated power intensity, for uphill and level ground, it's far better than anything else available to us and is good enough for real world usage.
Sadly, things are not quite so rosy on the downhill sections. The graph below shows a hill repeat where I took it easy on the way up, and then pushed the pace hard on the way down. You can see that during the downhill section, my heart rate has risen a little, but the estimated power output has dropped massively. You can see my pace a little more accurately on the lower chart that uses the Stryd data, and my pace is hitting 6:30 min/mile. This matches up with my overall experience of Stryd, which consistently underestimates my exercise intensity for downhill sections of my run. This is a little limiting, as it means I come to use Stryd to pace myself when running downhill. I'm reasonably confident that Stryd will update their model to improve this, but it is currently a noteworthy shortcoming.
10 Stryd Power Estimate or Heart Rate?
The use of heart rate for training has been established for many years, and heart rate based training has some useful advantages, as well as some significant shortcomings. I think the Stryd estimate of power output overcome some, but not all of the issues with heart rate based training. Personally, I don't see this type of power estimate completely replacing heart rate based training, only augmenting it.
- Heart rate responds to exercise intensity with a delay, while Stryd's power estimate is much closer to real-time.
- During longer exercise, Heart Rate Drift occurs that generally causes a higher heart rate for a given intensity. The reasons for this drift are complex, and include dehydration, fatigue, carbohydrate depletion. Using Stryd's power estimate ignores this drift, though it's unclear to me when to use heart rate and when to use the power estimate. In some situations, it seems likely that the drifted heart rate is a better estimate of intensity than an unmodified power estimate.
- There is a widespread myth that Maximum Heart Rate can be calculated, leading to some erroneous assumptions of how a given heart rate relates to the percentage of exercise capacity. In practice, both Heart Rate and maximum estimated power require a practical test.
- A common use of heart rate data is to allow an athlete to train at their Lactate Threshold, often referred to as Tempo Runs. The belief is that this training intensity is especially beneficial, though the available science indicates the opposite. If Tempo Runs made sense, then Stryd's power estimate would be quite valuable for hitting that pace accurately. I'm sure that many runners will use Stryd this way, even though the science indicates it is ineffective.