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The most common question we get at Maximon Global is “how do you define fitness?” In order to answer this question, let’s first provide some background. Webster’s Dictionary defines fitness as “the quality or state of being fit.” To dial things in a bit more, fit is defined as “sound physically and mentally.” For most in the sporting world, these definitions fail to express what many see as fit. As a corollary, this makes measuring fitness even more problematic–we simply have no consensus on what it means, looks like, and feels to be “fit.” At our core, Maximon Global hopes to change this.
For many, the tennis great Rafal Nadal epitomizes fitness with the adjectives power and stamina often used to describe him. Obviously, Nadal possesses great skill and athleticism, but his superior fitness is frequently credited for his victories over other competitors. Others point to the great Kenyan marathoner Eliud Kipchoge, a two-time Olympic champion and the first person to break the two-hour barrier in the marathon as the epitome of fitness. Articles cite his laser focus and endurance as factors contributing to his excellence. An athlete like Jackie Joyner-Kersee, a three-time Olympic gold medalist and Sports Illustrated for Women’s Greatest Female Athlete of All-Time, possesses a blend of strength, stamina, and power. Joyner-Kersee’s endurance cannot be disputed either as she competed in the grueling eight-event heptathlon. Athletes like this provide an excellent basis for beginning to formulate a working definition of fitness.
Prior to creating a methodology for quantifying fitness, we needed to first define it. To do so, we polled a variety of athletes, coaches, exercise physiologists, and other fitness professionals. A consensus of the most important and impactful components of fitness were revealed:
With the various components of fitness determined, we repolled our group to determine guidelines for selecting appropriate fitness tests. A consensus on the following points revealed itself, some of which overlap:
The guidelines discussed above formed the basis for Maximon Global’s selection of the following events:
There is overlap between certain tests and Maximon Global’s scoring algorithm recognizes and accounts for this situation. While these tests are not perfect measures of each individual component, the need to perform nine events over a relatively short period of time precluded more lengthy alternatives.
Through rigorous analysis, Maximon Global created a series of scoring algorithms to quantify athlete’s performances across the world. These algorithms use a variety of factors to assign a numerical value ranging from 0 to 1500 to an athlete’s individual test performance, thus allowing competition to occur without traditional constraints. While the company does not publish the specific algorithms due to competitive reasons, we do explain aspects of our formula for descriptive purposes. We provide examples in the extreme to illustrate these aspects and to show how it is possible for athletes to compete across time, distance, age, and gender against one another.
To provide competitors with some understanding of our scoring algorithm, we will detail some components below including the importance of Crowdsourced Performance Information, the impact of Environmental Conditions on exercise performance, a basic use of Statistical Modelling in performance, and a discussion regarding the Allocation of Points by Fitness Component and Individual Test Proportions in relation to the overall score.
Again, to prevent athletes from “gaming the system,” we do not release the complete algorithm–the best way to improve your score is to simply increase your performance. We provide suggestions and best practices under the Takeaways section below. Our algorithms utilize the latest advancements in data science, statistical modeling, exercise science, machine learning, and artificial intelligence while balancing them against real-world performance and conditions. This is not an exhaustive list of the measurement techniques that we use. As advances in these fields continue to occur, our algorithms remain under continual refinement.
Presently a comprehensive repository for human performance data does not exist. A variety of international and national federations have a variety of rules and records making it difficult to compare one performance to the next even in the same event. If you want to compare across different sports, for example, powerlifting and indoor rowing, the task becomes even more challenging. If you wish to break your results down by age, gender, or other factors the task becomes more burdensome.
Maximon Global seeks to change this by creating a searchable, sortable data set of test results presented with interactive visualizations. So if you just got on your rowing machine and ripped out a 500, and you’re a 60 year old female, you might just wonder how you stack up against people your age, or against people in your area, or maybe even if you are better (relatively) than your 30 year old daughter. Perhaps you are the same person and now wonder how your bench press stacks up. Maximon Global’s Crowdsourced Performance Database provides the answer.
As our database increases, our algorithms become more accurate and our competitors gain valuable, actionable insights. By joining our social network, athletes gain access to improved and centralized training information and tools designed to positively impact their results.
If we wish to test the aerobic capacity of two athletes on opposite sides of the world using the one mile run, environmental conditions must be observed, recorded, and factored into any scoring analysis. Assuming for illustration two athletes of equal size and age. Athlete One is running in a hot and humid climate with measurable pollution while Athlete Two is running in ideal conditions with limited pollution. Now let’s say Athlete One runs the mile in 6:00, while Athlete Two comes in at 6:02.
At first glance, it would seem Athlete One by virtue of running two seconds faster possesses a greater aerobic capacity. However, anyone with experience running knows that heat, humidity, and pollution negatively impacted Athlete Two. Studies indicate that had the two athletes competed under the same environmental conditions, Athlete Two would perform faster and thus be considered to possess a higher aerobic capacity. Making things worse for Athlete Two, she ran into a severe headwind. So, if we wish to compare athletes across the world, any scoring methodology must account and adjust for real-time local conditions. Maximon Global does this by using nearly 80 factors in our environmental condition corrections. As a result, our scoring algorithm adjusts raw performance results to account for these differences. That said, remember that your actual result (raw performance) is the single greatest determinant of your score for a particular test.
Increasingly, exercise scientists recognize the importance of body size as a confounding influence in the analysis of physiological function. Power function models, for example, continue to advance and represent a statistically superior method of scaling physiological variables for differences in body size. As a result, modeling permits meaningful comparisons between various body sizes. Let’s describe such a scenario below.
Imagine Athlete One, a 150 lb. female and Athlete Two, a 110 lb. female, they are both competing in a pullup contest and agree to use this test to determine who possesses superior upper body strength. Both athletes possess equal measures with all other variables. Athlete One completes twelve repetitions, while Athlete Two completes thirteen repetitions. At first glance, Athlete Two wins with a superior performance (raw score) of 13 vs. 12. However, simple physics tells us Athlete One, at 30 lbs. heavier, performed significantly more work. Examine the math:
Body Weight | Reps | Total Weight Lifted | |
---|---|---|---|
Athlete One | 150 | 12 | 1,800 |
Athlete Two | 110 | 13 | 1,430 |
Now if we are using pull ups to measure upper body strength between the two athletes, it is clear that Athlete One lifted much more weight in total.
In summary, statistical modeling assists us to develop a clearer picture when comparing an athlete’s performance. Keep in mind, this example is for illustrative purposes and is not representative of how Maximon Global calculates points in our pull up tests–your raw result (actual performance) is the most important factor. In fact, pull ups are not used purely as a measure of strength in our competitions and this result is used in several of our calculations. So in an event like pull ups, repetitions, body weight, and total weight lifted are among several factors used to create a final test score.
The determination of the allocation of points by fitness component (aerobic capacity, anaerobic capacity, muscular strength, strength endurance, and comprehensive power) are not released for competitive purposes. These allocations are primarily determined by our advisory panel of exercise scientists, coaches, and former athletes who represent a wide cross section of sports and disciplines.
The allocation of individual test proportions are determined by subpanels, with members consisting of individuals with specific credentials in those types of events. To elaborate, we use smaller groups with a particular expertise so a group of endurance coaches and athletes are not determining how points are allocated within the strength events.
We hope this document helps you in your preparation for Maximon Global Fitness Competitions. Many athletes contact us looking for specific guidance and to preserve the integrity of competition, we do not release this information. The following information serves as a basic guide for preparation:
We would like to conclude by thanking everyone for competing and contributing to the greater good. We wish everyone the best of luck and we promise you, you’ll need it!