Anya Pilgrim turns on floor exercise

Fantasy Central: A Dataset for 2025 Draft Prep

September might signal the start of football season for most of the country, but for college gymnastics fans, it’s time to start thinking about the upcoming season. With freshmen moving onto campus and gymnasts posting first day of class photos, it’s only a matter of time before we’ll be seeing daily training footage and Nike Christmas. It’s also around the time that many members of the CGN staff start preparing their fantasy gymnastics drafts, so we put together a dataset to aid fans who want to get started as well. The source for all of this information is Road To Nationals (RTN). 

In this spreadsheet, you will find everyone who has previously competed in college and is slated to return in 2025. The first tab gives basic information for each gymnast: team and class as of 2025, as well as NQS, average, and high scores on each event for each season they competed. The remaining tabs give the raw scores (separated into regular and postseason) for each season, with one tab per season. Each gymnast is assigned a unique ID by RTN, which we have included so data can be easily matched across tabs. To use this data to make your own draft, simply select File > Make a Copy to copy the data into your own Google Sheets spreadsheet, or File > Download to export it into your spreadsheet program of choice.

If there are any changes to projected returners (such as a medical retirement or a new fifth-year announcement), we will update the spreadsheet accordingly. We also indicated gymnasts who are transferring to another team and will update this column if any further transfers are announced. Freshmen are not included since this dataset is based on gymnasts who already have data in RTN, but a freshmen-specific dataset will be published next week, and they will be considered for the sample drafts we will be producing closer to the start of the season.

Happy drafting!

READ THIS NEXT: Data Deep Dive: Highest-Impact Transfers and Freshmen


Article by Jenna King and Dara Tan

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.