I'm like that because you're using scientific words like "control", which adds weight to your argument, but is a fallacy because your control is flawed. Read all the posts on the weakness of HR as a metric above.
If your "control" fluctuates wildly in each individual hour to hour, day to day, and week to week; and between individuals by upwards of 30%, then why are you using this?
Also, why are you using a measure of performance (or input) like HR when you should be using a measure of effectiveness (or output) like pace or power? You would be better to have your athletes run off the bike (at a controlled TSS score based on a controlled FTP measurement) at a certain % of their open 5k time, and THEN see what their HR did, what there PE was, how they felt. If the do well, they can handle the TSS of the bike they did, if not then they need work on the bike.
Further, why are you basing your erroneous measure of performance on an arbitrary physiological input marker rather than an objective output marker like FTP on bike or open 5k pace for the run?
The goal of racing is to go fast, not to go at the pace you predicted in training based on an arbitrary HR number. It's a self fulfilling prophecy, and makes you "coaches" look good when your athletes run just as you would have predicted. Slow.
My tips to you...
1) realize that those who run the fastest long are also the ones who run the fastest short.
1a) realize tha those who run the fastest long are also the ones who train the hardest on the bike in training, and pace the bike the best on race day.
2) encourage your athletes to get faster at running short first.
3) find a prediction model that works, based on outputs like pace or power, and encourage your athletes to execute on race day based on that model. (Search Jordan Rapp Open 5k pace as a percentage of IM pace in the search function.) I like the McMillan run calculator. Enter a 5k time, get the predicted marathon time, add 20 minutes.
Anything less than this is a bike pacing FAIL.
Eric Reid
AeroFit |
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