4-star QB Avery Johnson invited to Elite 11 Finals
Maize (Kan.) four-star quarterback Avery Johnson has snatched an invite to the Elite 11 Finals, earning it Sunday at the Elite 11 Regional in Nashville.
Long Beach (Calif.) Long Beach Poly five-star quarterback and Tennessee commit Nico Iamaleava and Memphis (Tenn.) Lausanne Collegiate School three-star quarterback Brock Glenn also earned invites Sunday to the Elite 11 Finals.
Few invitations mean as much as the Elite 11 Finals do to high school quarterbacks. The event, which will celebrate its 23rd year in 2022, brings together the country’s elite signal-callers for four days of competition and training from former NFL quarterback Trent Dilfer and a host of others.
Elite 11 alumni include Carson Palmer, Andrew Luck, Matthew Stafford, Tim Tebow, and more recently Trevor Lawrence, C.J. Stroud, Bryce Young and more. Last year’s Elite 11 Finals featured 13 of the top 20 quarterbacks in the final 2022 On3 Consensus Rankings, including each of the top six players at the position.
As invites go out over the next few months after Elite 11 Regionals across the country, we’re tracking the prospects who — barring injury or schedule conflict — will head to Los Angeles in late June and compete for the title of the country’s top quarterback in the 2023 class.
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The On3 Consensus — a complete and equally weighted industry-generated average that utilizes all four major recruiting media companies — has Avery Johnson as the No. 224 overall recruit in the 2023 cycle.
He currently has an On3 NIL Valuation of $110k. The On3 NIL Valuation is an index that looks to set the standard market value for both high school and college-level athletes. The NIL valuation does not act as a tracker of the value of NIL deals an athlete has completed to date. It rather signifies an athlete’s value at a certain moment in time.
The On3 Recruiting Prediction Machine has Kansas State as the heavy favorite to land Johnson at 85.4%.
RPM was released to the public in December. 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.
It factors in machine learning, expert predictions, social sentiment, visits, and historical trends. However, expert predictions are still a big piece of the RPM equation.