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Strava's Artificial Intelligence Now Estimates Racing Finish Times (Yet I Remain Doubtful)
Ready to dive into the world of athletic performance predictions? Let's chat about Strava, the popular running and cycling app that's now offering a unique subscriber-only feature.
Strava's new AI-powered tool will predict how speedily you could run a 5K, 10K, half-marathon, and marathon based on your training history and data attributes. Unlike other platforms, Strava doesn't rely on theoretical inputs like VO2 max; instead, it utilizes real activity data and considers the performance of athletes with similar training histories.
The feature is available exclusively for premium members, who can find their predictions in the mobile app by heading to the 'You' tab, then tapping 'Progress'. You'll see your race time predictions right beneath your weekly mileage. Remember, you'll need to have logged at least 20 run activities in the last 24 weeks for the AI to generate predictions.
Now, how does Strava's predictions compare to other apps and formulas? You might be familiar with apps like Garmin and websites such as vdoto2.com, which usually use mathematical formulas. On the other hand, Strava's new predictor is fueled by what they call "Athlete Intelligence," a machine learning model.
So, what's Strava doing exactly? In simple terms, the app is examining everyone else's training and race times, considering yours, and then guessing your performance. However, the question remains: how does Strva's AI compare to real-life race results? I reached out for more information, but no answer as of now. Look out for updates on this front.
It's important to understand that the predicted results may differ from what you see elsewhere. For instance, my Garmin watch predicts I can run a 5K in 26:02 while Strava predicts 29:22. Strava's predictions seem too slow for my personal preferences, but bear in mind that the new feature is still in its early stages, and only time will tell how accurate it will be for everyone.
Overall, Strava's new AI-powered Performance Predictions set themselves apart from competitors through their data-driven approach and real-time adaptation. However, some users report conflicting results, so it's always a good idea to take these predictions with a grain of salt and focus on improving your own performance rather than relying solely on AI predictions.
- Strava's new AI-powered tool, available exclusively for premium members, uses real activity data and considers the performance of athletes with similar training histories to predict your race time for a 5K, 10K, half-marathon, and marathon.
- Unlike other platforms like Garmin and vdoto2.com, which usually use mathematical formulas, Strava's new predictor is fueled by "Athlete Intelligence," a machine learning model.
- To find your race time predictions on the Strava mobile app, head to the 'You' tab, then tap 'Progress', and they will be displayed right beneath your weekly mileage.
- Strava's predictions may differ from what you see elsewhere, such as a 26:02 prediction from a Garmin watch for a 5K versus a 29:22 prediction on Strava.
- While Strava's AI-powered Performance Predictions set themselves apart through their data-driven approach and real-time adaptation, some users report conflicting results, so it's important to focus on improving your own performance rather than relying solely on AI predictions.
