Recruiting Prediction Machine: 4-star RB Trey Holly trending to LSU

The lifeblood of LSU’s success over the past two-plus decades has been landing elite prospects from its own state. And while new head coach Brian Kelly has expanded the Tigers’ recruiting footprint, LSU still expects to dominate inside its borders. That looks to be off to a good start in the 2023 class, as its the Tigers trending for Farmerville Union Parish running back Trey Holly, according to the On3 Recruiting Prediction Machine (RPM).

After an expert prediction from On3 National Recruiting Analyst Sam Spiegelman today, the Tigers hold a 99.1 percent chance to land the 5-foot-7, 177-pound speedster.

Holly is the No. 186 prospect in the 2023 class, according to the On3 Consensus, a complete and equally weighted industry-generated average that utilizes all four major recruiting media companies. He ranks as the nation’s No. 8 running back and the No. 13 prospect in Louisiana this cycle.

He holds exactly two dozen offers, including LSU, Arkansas, Auburn, Mississippi State, Ole Miss, Oregon, Tennessee and Texas A&M. The Razorbacks and Tigers have largely been considered the favorites in his recruitment, though a weekend visit to Baton Rouge looks to have the home-state Tigers in a good place.

In four varsity seasons at Union Parish, Trey Holly has amassed 6,980 yards and 98 touchdowns on just 774 carries. He has also added 742 receiving yards and six more scores through the air. He was voted theMost Outstanding Player for in Louisiana 3A state championship game this past season while leading his team to its second straight runner-up finish.

LSU currently has one commitment in the 2023 cycle from four-star North Caddoo wide receiver Omarion Miller.

What is the On3 Recruiting Prediction Machine?

The On3 RPM debuted 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.