Hundreds of thousands of youths participate in racing sports in the United States. Racing sports, such as swimming, track and speed skating all use elapsed time as the primary measure of achievement. But an elapsed time by itself, such as 55.23 seconds, is of little value in determining if a particular performance was “good.” A “good” time for one age, gender, event, distance and/or race condition might not be a “good” time under a different set of factors. Various time standards have been created to rank athletic performances. These standards are generally set up to evaluate the performances of athletes within an age group which typically ranges from one to two years. Unfortunately, athletic performances vary widely within such age groups. It is very difficult to compare the performances of two athletes who have an age difference of a few months. The methodologies described herein will overcome the inherent approximations in these existing performance standard systems. My methodology will calculate an exact age-adjusted point value for a given performance. Given this exact, age-adjusted point value for the elapsed time of a specific race, my methodology will then be able to convert that elapsed time to the expected elapsed time of an equivalent performance under a different set of factors (for example, a different event, length, course, age and/or gender).
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