Frequently Asked Questions (FAQ)
Do you adhere to the NCAA Gymnastics Recruiting Rules and Calendar?
The NCAA created a recruiting calendar that determines when and how college coaches can contact recruits. It is important to state that Gym Recruit Genius abides by these rules.
To summarize, NCAA D1 and D2 women’s gymnastics coaches can begin personally contacting recruits starting June 15 after their sophomore year. D3 college coaches, on the other hand, are allowed to contact recruits at any point during high school. Even though coaches aren’t permitted to talk to athletes until June 15 after sophomore year, they’re still actively recruiting behind the scenes before this point.
The NCAA allows universities to send general questionnaires to student-athletes to discover which of them are interested in their school. Then, they’ll conduct online evaluations (including data analysis and AI predictive modeling from Gym Recruit Genius) to build their list of prospects. They can also review emails they receive from student-athletes.
Gym Recruit Genius adheres by these NCAA recruiting calendar and rules in the following ways:
- Gym Recruit Genius never provides a mechanism for coaches to directly contact recruits.
- Gym Recruit Genius allows university coaches to internally and privately build a list of prospects using data analysis and AI predictive models.
- Gym Recruit Genius may contact athletes via email, informing them that they have been added to a university prospect list.
- Gym Recruit Genius allows athletes to fill out general questionnaires about themselves. Gym Recruit Genius provides a mechanism for student-athletes to share questionnaire data with university coaches.
For a full understanding of NCAA rules and calendar, please visit: https://www.ncsasports.org/college-gymnastics/recruiting-rules-calendar
What are your sources of data?
Gym Recruit Genius sources its data from publicly accessible websites to access both historical student-athlete JO gymnastics events scores and university roster lists. All other data is captured directly by user input within Gym Recruit Genius.
Do you share my data?
Please refer to the following table to understand how we share or not share specific types of data:
| Kind of Data | Privacy Policy |
|---|---|
| Individual student-athlete scores | This is already publicly accessible data and therefore visible to any user of Gym Recruit Genius. |
| University roster scores | Gym Recruit Genius merges university recruiting roster years data (i.e. freshman joining university teams each year) with their JO scores from high-school. These are already publicly accessible data and therefore visible to any user of Gym Recruit Genius. |
| University Prospect Lists | Gym Recruit Genius allows university coaches to privately manage lists of prospects for their future recruiting years. This data is strictly kept private to each university profile. |
| General questionnaires | Gym Recruit Genius allows athletes to fill out general questionnaires about themselves. Gym Recruit Genius provides a mechanism for student-athletes to share questionnaire data with university coaches. Athlete questionnaire data is only shared with the university profiles whom the athlete selects, and no one else. |
| Predictive model data | Gym Recruit Genius has built proprietary AI predictive models which can help predict university matches for specific student-athletes. The predictions made by the models for any given student-athlete are only shared with that student-athlete's profile, as well as any university profile who has selected that athlete in their prospects. |
For more information, please visit our Terms of Use and Privacy Policy.
How do you split the event scores into grade years (i.e. freshman, sophomore, etc.)?
Gym Recruit Genius only accounts for JO events that occur between November 1 through June 1. Any JO event which occurs within in this timeframe is considered part of that gymnastics year, even though it crosses over a calendar year.
Can you explain the difference between Median and Average?
Median and Average are two essential terms in statistics, and they are used frequently. The fundamental difference between Median and Average is that the Median is the middle value, whereas the Average is the arithmetic mean of values.
Take, for example, the following student-athlete JO All-Around scores for a given year (ordered by event date):
17.825, 36.575, 37.125, 18.050, 36.900, 36.925, 36.975
You will notice that some of these scores are low – perhaps due to the athlete scratching an event (i.e. In gymnastics, "scratching an event" means a gymnast voluntarily chooses to withdraw from competing on a specific apparatus during a competition).
For this set of scores, here are the Average and Median values:
Average: 31.48
Median: 36.90
The average is calculated simply by adding up all of the numbers and dividing by the number of numbers in the data set. Very low scores (typically due to scratching an event) tend to distort averages by skewing them lower.
The median, by contrast, is the central number of a data set. In this example, we can identify the median by first sorting the events from low to high, and then finding the center value: 17.825, 18.050, 36.575, 36.900, 36.925, 36.975, 37.125