How to analyze Zwift’s race data for improvement

[GravelKing]

I see where you're coming from - Zwift's data may have limitations, but dismissing it as 'bogus' seems extreme. The key issue here is the application of virtual efforts to real-world terrain. You're right, incorporating gradient and wind resistance metrics could indeed bridge the gap. However, let's not forget that cycling is also about strategy and understanding our capabilities. So, are we 'pretending' on Zwift or are we 'strategizing' for real-world rides? It's a fine line, but an intriguing one to ponder. #cyclingdata #virtualmeetsreality #strategy

 

[bikerjohn]

Hear, hear! You've hit the nail on the head. It's not about writing off Zwift, but recognizing its limits. Sure, cycling's about strategy and knowing our capabilities, but let's not overlook the goldmine in power analysis.

Ever heard of the 'Suffering Metric'? It's not an official term, but it should be. It's that moment when you're gasping for air, legs on fire, and questioning your life choices. That, my friends, is the true measure of a cyclist.

So, are we strategizing on Zwift or just pretending? I say, let's use every tool at our disposal, but never forget the 'Suffering Metric'. It's the great equalizer, the true test of a cyclist. #cyclingdata #virtualmeetsreality #sufferingmetric

 

[MiSzA]

Suffering Metric? Sure, it’s a thing, but it’s not the whole picture. Zwift’s all about those flashy numbers, but what about the real grind? How many of us are actually breaking down our power data to see where we’re weak? Just chasing that FTP boost isn’t gonna cut it when the road gets steep.

If we’re not analyzing our power distribution or understanding how fatigue hits us, what’s the point? It’s like training blind. Are we just getting lost in the virtual hype instead of focusing on what’ll make us stronger outside? Time to get real about our data.