Vols LB target Chris Cole announces commitment date, finalists
Tennessee Vols linebacker target Chris Cole has announced his six finalist ahead of a September 10th commitment date. He revealed the news on social media earlier today.
The standout linebacker was recently on Tennessee’s campus on July 29th as the Vols hosted their final recruiting event of the summer.
He has built a strong bond with Tennessee Inside Linebackers Coach Brian Jean Mary.
“It was a super exciting visit. I was able to hang out with the coaches, the head coach, Coach BJ (Brian Jean-Mary) and their families. We talked a lot about how they would use me on defense,” Cole told Volquest.
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He was also able to learn more about his fit into the scheme.
“They talked about using me as a WILL where I could blitz and play in space. They like my length, I’m super long and fast so I’ll be able to play on the edge but also play in the box too.
The On3 RPM favors Georgia heavily at this stage of the recruitment. However, Miami and Tennessee, along with the others are continuing to pursue the elite prospect heavily.
Highlights of On3’s Recruiting Prediction Machine:
- Combines data and expert predictions on an AI platform.
- V1 release December 2021 with V2 scheduled in Q2 of 2022
- 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.
- On3 is removing the manually controlled “school interest” section with the RPM prediction.
Expertise and data used for the RPM algorithm:
- Insight and inputted predictions from industry experts:
- On3 National Recruiting Insiders
- On3 Fan Site Recruiting Insiders
- Industry experts with proven track records (Outside of On3 staff)
- Visits (by the player and by coaches):
- Official Visits
- Unofficial Visits
- Coaches Visits
- Sentiment, analyzed by machine-learning:
- Social sentiment from the athlete
- Media sentiment
- Data of previous related outcomes:
- Geographic Data
- Coaching Staff historical data
- State historical data
- High School historical data
