Detecting Outliers in Marathon Data by Means of the Andrews Plot
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For an optimal race performance, it is important, that the runner keeps steady pace during most of the time of the
competition. First time runners or athletes without many competitions often experience an "blow out" after a few kilometers
of the race. This could happen, because of strong emotional experiences or low control of running intensity. Competition pace
of half marathon of the middle level recreational athletes is approximately 10 sec quicker than their training pace. If an athlete
runs the first third of race (7km) at a pace that is 20 sec quicker than is his capacity (trainability), he would experience an
"blow out" in the last third of the race. This would be reflected by reducing the running intensity and inability to keep steady
pace in the last kilometers of the race and in the final time as well. In sports science, there are many diagnostic methods (,
, ) that are used for prediction of optimal race pace tempo and final time. Otherwise there is lacking practical evidence
of diagnostics methods and its use in the field (competition, race). One of the conditions that needs to be carried out is that
athletes have not only similar final times, but it is important that they keep constant pace as much as possible during whole
race. For this reason it is very important to find outliers.
Our experimental group consisted of 20 recreational trained athletes (mean age 32,6 years ± 8,9). Before the race the
athletes were instructed to run on the basis of their subjective feeling and previous experience. The data (running pace of each
kilometer, average and maximal heart rate of each kilometer) were collected by GPS-enabled personal trainer Forerunner 305.