Texas A&M Football Recruiting (2024)

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FB Recruiting Official visit to Texas winds down busy spring for OT John Mills VIP Brandon Huffman

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Football Schedule

08/31
6:30 P
09/07
11:45 A
09/14 @
2:30 P
09/21
6:30 P
09/28
TBD
10/05
11:00 A
See Also
Texas-Texas A&M is officially back in '24, and how sweet it will be Texas A&M Football News | TexAgs Texas A&M Aggies: Breaking News, Rumors & Highlights | Yardbarker Texas A&M QB Conner Weigman's case for QB1 in the 2025 NFL Draft
10/19 @
TBD
10/26
TBD
11/02 @
TBD
11/16
6:45 P
11/23 @
TBD
11/30
TBD

All Times Eastern

Crystal Ball Predictions

- Kelshaun Johnson
- WR / 5-11 / 160
- 0.9235
- Predicted by: Andrew Hattersley
- 6 Med
- Kelshaun Johnson
- WR / 5-11 / 160
- 0.9235
- Predicted by: Mike Roach
- 7 High
- Vip Scoop
- Kiotti Armstrong
- TE / 6-6 / 248
- 0.9487
- Predicted by: Mike Roach
- 7 High
- Kiotti Armstrong
- TE / 6-6 / 248
- 0.9487
- Predicted by: Tom Loy
- 6 Med
- Jonah Williams
- S / 6-3 / 203
- 0.9946
- Predicted by: Andrew Hattersley
- 6 Med
- Jonah Williams
- S / 6-3 / 203
- 0.9946
- Predicted by: Collin Kennedy
- 6 Med
- Vip Scoop
- Jonah Williams
- S / 6-3 / 203
- 0.9946
- Predicted by: Mike Roach
- 6 Med
- Vip Scoop
- Tyler Thomas
- OT / 6-4.5 / 317
- 0.8753
- Predicted by: Hank South
- 6 Med
- Tyler Thomas
- OT / 6-4.5 / 317
- 0.8753
- Predicted by: Jordan Scruggs
- 6 Med
- Tyler Thomas
- OT / 6-4.5 / 317
- 0.8753
- Predicted by: Andrew Hattersley
- 6 Med
- Cobey Sellers
- CB / 5-11.5 / 175
- 0.9346
- Predicted by: Collin Kennedy
- 6 Med
- Vip Scoop
- Cobey Sellers
- CB / 5-11.5 / 175
- 0.9346
- Predicted by: Andrew Hattersley
- 6 Med
- Vip Scoop
- Cobey Sellers
- CB / 5-11.5 / 175
- 0.9346
- Predicted by: Mike Roach
- 7 High
- Connor Carty
- IOL / 6-4 / 290
- 0.8858
- Predicted by: Mike Roach
- 7 High
- Connor Carty
- IOL / 6-4 / 290
- 0.8858
- Predicted by: Andrew Hattersley
- 6 Med
- Connor Carty
- IOL / 6-4 / 290
- 0.8858
- Predicted by: Tom Loy
- 7 High
- Marcus Garcia
- OT / 6-5 / 270
- 0.8964
- Predicted by: Mike Roach
- 7 High
- Vip Scoop
- Marcus Garcia
- OT / 6-5 / 270
- 0.8964
- Predicted by: Tom Loy
- 6 Med
- Landon Rink
- DL / 6-2 / 280
- 0.9083
- Predicted by: Bill Kurelic
- 6 Med
- Landon Rink
- DL / 6-2 / 280
- 0.9083
- Predicted by: Collin Kennedy
- 6 Med
- Vip Scoop
- Landon Rink
- DL / 6-2 / 280
- 0.9083
- Predicted by: Tom Loy
- 6 Med
- Landon Rink
- DL / 6-2 / 280
- 0.9083
- Predicted by: Andrew Hattersley
- 6 Med
- Landon Rink
- DL / 6-2 / 280
- 0.9083
- Predicted by: Steve Wiltfong
- 6 Med
- Husan Longstreet
- QB / 6-1.5 / 195
- 0.9777
- Predicted by: Andrew Hattersley
- 6 Med
- Deondrae Riden
- RB / 5-10 / 195
- 0.9111
- Predicted by: Steve Wiltfong
- 6 Med

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Team News

FB Recruiting

Official visit to Texas winds down busy spring for OT John Mills

FB Recruiting VIP Premium Brandon Huffman Jun 18, 2:30 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 18, 9:30 AM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 17, 11:53 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 17, 3:45 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 17, 10:31 AM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 16, 7:14 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 16, 5:35 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 15, 9:08 PM

FB Recruiting

FB Recruiting VIP Premium Mike Roach Jun 15, 7:26 PM

FB Recruiting

FB Recruiting VIP Premium Andrew Hattersley Jun 15, 8:00 AM

Top Targets

Jonah Williams
S / 6-3 / 203 0.9946
- 75%
- 25%
Kaliq Lockett
WR / 6-2 / 175 0.9898
Andrew Babalola
OT / 6-6 / 280 0.9856
Ty Haywood
OT / 6-5 / 285 0.9944

2025 Recruiting Rankings

The Formula
where c is a specific team's total number of commits and R_n is the 247Sports Composite Rating of the nth-best commit times 100.
Explanation
In order to create the most comprehensive Team Recruiting Ranking without any notion of bias, 247Sports Team Recruiting Ranking is solely based on the 247Sports Composite Rating.
Each recruit is weighted in the rankings according to a Gaussian distribution formula (a bell curve), where a team's best recruit is worth the most points. You can think of a team's point score as being the sum of ratings of all the team's commits where the best recruit is worth 100% of his rating value, the second best recruit is worth nearly 100% of his rating value, down to the last recruit who is worth a small fraction of his rating value. This formula ensures that all commits contribute at least some value to the team's score without heavily rewarding teams that have several more commitments than others.
Readers familiar with the Gaussian distribution formula will note that we use a varying value for σ based on the standard deviation for the total number of commits between schools for the given sport. This standard deviation creates a bell curve with an inflection point near the average number of players recruited per team.
Below is a graphical representation of how our formula works. You can see that the area under the curve gets smaller both as the rating for a commit decreases and as the number of total commits for a school increases. The y-axis in this graph represents the percentage weight of the score that gets applied to an overall team ranking.