Historically, athletes and coaches have been monitoring training and racing routines through the use of paper logs. These offer info like distance ridden, nutrition, and effort levels based on scales like Borg 10 or 20-points rating of perceived exertion (Borg RPE). However technology showed that more could and should be recorded and analyzed. In 1982, the Finnish company Polar invented wireless heart rate monitors and many new training methodologies were proposed and used for years. Nevertheless, heart rate is subject to baseline variations under different conditions such as stress, hydration level, and sleep quality. These limitations had to be overcome and they actually pushed the development of portable on-bike power meters.
All athletes should log as much information as possible in every training or race workout they complete. But what should be recorded and how to do it? Both objective and subjective data should be registered. In another article I have listed many tips to make sure you always get consistent objetive data. However training is not only about power, heart rate, pace, speed, cadence, and altimetry. Other aspects should also be monitored and logged after every workout. Let’s discuss each one.
40 kilometer TT - A 40 km (24.8-mile) solo race against the clock. Time trials are often referred to as “the race of truth.”
Acute Training Load (ATL) - The overall quantity (i.e., combination of frequency, duration, and intensity) of training that you have performed recently (during the past week or two). See also Chronic Training Load (CTL).
What is Strava? Strava is a community of athletes from all over the world. Strava lets you experience what they call social fitness - connecting and competing with each other via mobile and online apps.
Working with athletes presents day-to-day challenges. Both parts are always learning something new and trying to do a better job today than yesterday. One early area that frequently has a steep learning curve is how to correctly operate modern sports (eg. bike) computers or watches. Summarizing many past experiences with my athletes, I decided to write-up this short guide of recommended practices for consistent sports data generation.