At the Science of Sport Ross Tucker explains how he will be tracking the performance of riders in the Tour de France during the mountain stages.
During the Tour, what I'll do ahead of each mountain stage is
graphically show you the expected times, and the expected power outputs.
Then, after the stage, once the data are in, we can compare each climb
to the various predictions, and describe again the insights the
performances offer.
Again, I can't stress enough that this is not done with judgment of
performance in mind. It's partly because the study of the limits of
performance is fascinating, and partly because we can develop informed,
insightful opinions on the state of the sport by understanding the power
output. I confess, upfront, and will continue to do so as the race
develops, that these are imperfect methods, involving estimates and
assumptions. Where possible, I will provide actual SRM data to validate
the models (or reveal their inaccuracies), and hopefully by the time
the Tour rolls into Paris in just under 3 weeks, we'll all be better for
it.
It is a busy time of year for me, so I will also apologize in advance if
I can't keep up with very stage of the race - these long posts
obviously draw significant time away from other responsibilities, so no
guarantees! I will however guarantee that I'll share brief thoughts and
the insights and analysis of others over at our
Twitter and
Facebook pages, so do follow us there if you would like more frequent, shorter thoughts during this 100th Tour de France.
The goal here is to establish baselines of performance and to raise flags when performance exceeds that which may be physiologically possible. Tucker explains:
The power output of course produces the time, and so the first point of
analysis is to compare times from one year to the next. If a rider in
2013 produces an ascent of Alp d'Huez that is faster than anything
Pantani, Ullrich, Virenque and Armstrong were able to produce given the
doping of that era, then it should be pause for concern and some
suspicion.
This has been an "unpopular" concept because some people assume it to be
the equivalent of guilt based on performance - if you are too fast, you
must be doping. That's not entirely true, though it would be almost
patronizing to say that there isn't an element of truth in it. The
reality, as far as I'm concerned, is that in the past, doping exerted
such a large effect on performance that it pushed performances beyond
what is possible with normal physiology. . .
In time, advances in training, technology and preparation may slowly
erode that advantage, but within a narrow period of a few generations,
the effect of the doping seen in cycling in the 90s and early 2000s was
so large that I don't believe it possible to match doped performances,
and so if or when it happens, some very important questions must be
asked. Certainly, in the last few years, every Grand Tour has
experienced a "slowing down", and the times in the Giro, Tour and Vuelta
have been, with one or two exceptions, slower than they were prior to
the biological passport's introduction. In
2011, I wrote a piece for the New York Times describing this and since then, the performances have remained slower. Not proof of a clean sport, by any means, but an encouraging sign.
Care must always be taken to maintain a stance of innocent until proven guilty (and by extension, what constitutes criteria of guilt), however, closer attention to the metrics of quantitative performance can serve as a useful complement in efforts to manage doping in sport.
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