Kentucky sees major boost in RPM for transfer QB Devin Leary

On3 imageby:Alex Weber12/19/22

Could NC State transfer QB Devin Leary have a new home soon? The No. 1 quarterback in the Transfer Portal, per the On3 Transfer Portal Rankings, is currently predicted to transfer to Kentucky. On3’s Recruiting Prediction Machine (RPM) gives the Wildcats a 96% chance to land the prized QB out of the portal. And the latest prediction on the RPM came from Kentucky Sports Radio’s Adam Luckett, who picked Leary to Kentucky with a 60% confidence level.

After that pick came in from the UK writer, the RPM bumped Leary’s likelihood of joining the ‘Cats from 53.3% all the way to 96%. Remains to be seen whether he’ll ultimately pick Kentucky, but signs are pointing that way. He visited Lexington last week a few days after reports leaked that Rams OC Liam Coen would return to Kentucky under the same position, which he held in 2021 before bolting for LA.

Then, this weekend, Leary took a visit to Auburn after Grayson McCall cancelled his visit there. That trip was previously unplanned and threw a wrench into the Leary recruitment. However, after both visits, KSR’s Matt Jones reported that several UK players still believe Leary will end up in Lexington.

Then, this morning came the Luckett prediction and the spike in Kentucky’s odds of getting him according to the On3 RPM. Looking like the ‘Cats could nab the top QB in the portal this offseason.

For more info on the On3 RPM…

Background on On3 RPM

We are proud to release the first version of the Recruiting Prediction Machine (RPM). The On3 engineering group teamed up with Spiny.ai to create the industry’s first algorithm and machine learning-based product to predict where athletes will attend college. 

The RPM combines data and expert predictions on an AI platform. With insight and inputted predictions from industry experts, including: On3 National Recruiting Insiders, On3 Fan Site Recruiting Insiders, and Industry experts with proven track records outside of On3 staff. It also tracks the recruits’ college visits, social media posts and where they play high school football.

The algorithm is built to learn from past results; therefore, accuracy will continue to improve over time. For example, it has the capabilities to learn trends like a coach’s success (or lack thereof) with a specific high school or region, the importance of an unofficial visit, and how valuable social media sentiment really is.

Plus, the RPM is already accurate. It has been correct on 82.79% of picks in the 2023 cycle and has an overall hit rate of 85.20% since its inception.