Oregon offers 4-star wideout Malik Elzy
Oregon has extended an offer to Chicago Simeon four-star wide receiver Malik Elzy.
He is the No. 386 overall recruit in the 2023 cycle, according to the On3 Consensus, a complete and equally weighted industry-generated average that utilizes all four major recruiting media companies.
Rock Island (Ill.) Alleman offensive tackle Charles Jagusah, East St. Louis (Ill.) four-star offensive tackle Miles McVay, Arthur (Ill.) Arthur Senior four-star linebacker Kaden Feagin, Kankakee (Ill.) four-star four-star athlete Jyaire Hill and Bolingbrook (Ill.) four-star safety Damon Walters are the five players from Illinois ranked ahead of Elzy in the rankings.
He currently has an On3 NIL Valuation of $19.9k. 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.
Notre Dame is the favorite for Elzy, according to On3 Recruiting Prediction Machine, with a 34.6% chance of landing Elzy.
Top 10
- 1Hot
Kirk Herbstreit
Shot fired at First Take, Stephen A. Smith
- 2New
Ohio State vs. Oregon odds
Early Rose Bowl line released
- 3
Updated CFP Bracket
Quarterfinal matchups set
- 4Trending
Paul Finebaum
ESPN host rips CFP amid blowout
- 5
Klatt blasts Kiffin
Ole Miss HC called out for tweets
Get the On3 Top 10 to your inbox every morning
By clicking "Subscribe to Newsletter", I agree to On3's Privacy Notice, Terms, and use of my personal information described therein.
“I have a good connection with Coach [Tommy] Rees, Coach [Dre] Brown and all those guys,” Elzy told Blue & Gold. “Coach Del [Alexander] leaving – it really doesn’t affect the relationship I have with Notre Dame.”
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.