Status:
Uncommitted
HIGH SCHOOL
RB

Daniyel Ngata

Running Back
5′9″ / 180 lbs
Folsom, CA
Folsom
Class of 2020
Rating: n/a
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National Avg
Rating: 92.5
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School Preferences

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Confidence
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Our staff hasn't made any predictions for Daniyel Ngata yet.

Videos

(1 Total)
Sophomore Season Varsity Highlights

Updates

20 days ago by Jason Howell
Texas A&M leaves strong impression on 2020 Folsom (CA) RB Daniyel Ngata
Folsom (CA) running back Daniyel Ngata took an official visit to Texas A&M over the weekend. Following his stay, Ngata talked about what stuck out to him, including the coaching staff and the academics.
20 days ago by Jason Howell
Caught up with Daniyel Ngata
21 days ago by Billy Liucci
Recruiting Thoughts: Aggies continue impressive summer run
After a big weekend for A&M that included 4-star Fort Bend Kempner OL Akinola Ogunbiyi rejoining the class, the Aggies continue to surge in recruiting. Billy Liucci breaks down Jimbo Fisher's and his staff's hot streak and what to expect in the days ahead.
23 days ago by Ryan Brauninger
Weekend recruiting update thread
28 days ago by Billy Liucci
Ten Thoughts: New Aggie commitments, out of state recruiting & more
The Aggies made two big recruiting splashes on Sunday after landing commitments from DT Isaiah Raikes and RB Deondre Jackson, and Jimbo Fisher and Company have big plans for rounding out the 2020 class and beyond.
All Updates

Photos

(1 Total)

Career Stats

Season
2020
SR
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TexAgs National Average Rating

The TexAgs National Average Rating is a proprietary formula that calculates an industry-wide aggregate rating for each recruiting prospect. The formula includes publicly listed grades, scores, ratings and rankings by national recruiting services, along with a TexAgs rating. Combining the data provides a rating for each prospect, which is then normalized to fit the TexAgs Rating 100-point scale.

The intent of this rating is to provide TexAgs readers with a comprehensive snapshot of how individual prospects rank nationally.
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TexAgs Rating

The TexAgs Recruiting team of Billy Liucci, David Sandhop, Jason Howell, Ryan Brauninger and a host of recruiting interns attends more than 75 games each fall and observes and evaluates every major Texas A&M target, as well as most of the top 150 prospects in the State of Texas. From this evaluation the team draws a rating for each prospect on a scale between 70 and 100.

99-100: Elite national prospect (Five-star)

Considered one of the best prospects in the nation and a likely difference-maker at the collegiate level. Displays all of the physical skills to be a future All-American with potential to be an early-round NFL draft pick.

90-98: Elite state prospect (Four-star)

Considered one of the best 30-40 prospects in the state and a top 250 national prospect. Displays the physical skills to be a major early contributor at the collegiate level with high professional potential.

80-89: Quality prospect (Three-star)

Considered one of the best 100 prospects in the state and a top 500 national prospect. Displays the physical skills to develop into a contributor over the course of his college career. Has the ability to become a professional prospect over time with development.

70-79: Solid prospect (Two-star)

Considered one of the top 250 prospects in the state. Has the physical skills to be a potential contributor at a D-1 program over the course of his collegiate career with significant development. Professional potential is low.
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Staff Predictions

The predictions represent which school each staff member believes will ultimately sign the recruit, and the confidence meter represents his level of certainty in that outcome.

Example #1

If the predicted school is Texas A&M and confidence is set to “High”, then the staff member is saying “I believe that this recruit will ultimately sign with Texas A&M and I feel very certain about that.”

Example #2

If the predicted school is “Alabama” and confidence is set to “Low,” then the staff member is saying “I believe that this recruit will ultimately sign with Alabama, but I’m not very certain about that.”
 
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