4 common mistakes about data-driven training | MultiSportPH
, I gave an introduction about what data is all about and how it can potentially help you as an athlete. Unsurprisingly, that brief prologue barely scratched the surface.
In the same breath, we may never completely understand the human body, our world, or our universe, but that shouldn’t stop us from trying. However, during a race season, rarely is fatigue black and white. We often have lingering levels of “tiredness” such that it getsRemember this to maximize data-driven training: Data is a tool, not a master
On the flip side, if you constantly push yourself without giving your body time to absorb the training, this will be unsustainable. Remember, it’s all about balance and this is something unique to each person. The trick lies in using the tools we have available to find that balance.The easiest metric to keep track of is distance. Most runners and triathletes start off by logging how long they swam, biked, or ran and associate this data with fitness.
For example, a 10K on a hilly course will result in more fatigue or training quality than a 10K on a track oval. Secondly, looking at distance alone can lead you to the “distance trap.” This is where athletes keep adding and adding to their workouts without taking other factors into play such as intensity or work-to-rest ratios. Remember, we only have 24 hours in a day; you will hit the ceiling eventually.
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