Michigan offers 4-star defensive lineman My'Keil Gardner
Peoria (Ariz.) Liberty four-star defensive lineman My’Keil Gardner has picked up an offer from Michigan.
He is the No. 364 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.
Gardner is also the seventh-ranked player from the state of Arizona.
Gardner was a top performer at the Under Armour Next Camp Series: Los Angeles in March with On3’s Joseph Hastings putting him in the top five.
“There was a lot to like from My’Keil Gardner’s performance on Sunday,” Hastings said. “In group drills with other defensive ends, Gardner moved with urgency from the jump and displayed violent hands when punching the bags. We thought Gardner’s footwork was one of the best among all the defensive linemen, and his ability to bend and turn the corner at his size certainly stood out. As for his one-on-one performance, Gardner won his first rep by chopping the opposing offensive lineman’s arm down and exploding inside for the would-be sack. He split the next rep but even then, his strength and relentless pursuit were on display. A product of Peoria (Az.), Gardner is a top-50 defensive lineman in the Class of 2023.”
Oregon are the major favorites for Gardner’s recruitment, according to the On3 Recruiting Prediction Machine. RPM gives the Ducks a 95.4% chance of landing Gardner.
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.
Gardner was recently in Eugene, Ore., for the Ducks’ spring game, breaking down his recruitment with ScoopDuck afterwards.
“Oregon is great,” Gardner said. “I love being there. The atmosphere is second to none.