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Ashton Bethel-Roman
Ashton Bethel-Roman

#8Ashton Bethel-Roman

Ashton Bethel-Roman is a Vertical Threat WR for Texas A&M. Ashton's 2025 season produced 20.0 total EPA across 38 plays.

What projects, and what doesn't · WRs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Ashton Bethel-Roman's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Receiving
24 Receptions503 Rec yards5 Rec TD21.0 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume12
  • Explosiveness93
  • Consistency51
  • Pass-Down100
Player type
Vertical Threat WR

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency51th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 2.05 EPA/play decline from first to second half.
  • Peak game: 4.03 EPA/play in Wk 9 vs LSU (SP+ 10).

NIL Market Tier· 2025

On3 valuation ↗
Elite

Top-3 player at position nationally. Collective + national brand deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonMississippi State0.4601.232.2
Quadree HendersonPittsburgh0.5301.633.4

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+4.0304.03Wk 1 vs UTSA: +2.33 EPA/play1Wk 2 vs Utah State: +0.72 EPA/play2Wk 5 vs Auburn: -0.00 EPA/play5Wk 8 vs Arkansas: +2.02 EPA/play8Wk 9 vs LSU: +4.03 EPA/play9Wk 11 vs Missouri: -0.49 EPA/play11Wk 12 vs South Carolina: +0.39 EPA/play12Wk 13 vs Samford: -0.95 EPA/play13Wk 14 vs Texas: +0.15 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsUTSAW42-243.712020.00202.33
2vsUtah StateW44-22-3.134816.00250.72
5vsAuburnW16-1011.611818.0018-0.00
8@ArkansasW45-425.148320.81372.02
9@LSUW49-2510.314747.00474.03
11@MissouriW38-1714.422613.0122-0.49
12vsSouth CarolinaW31-305.9413934.81760.39
13vsSamfordW48-026130.5258-0.95
14@TexasL17-2716.22178.50110.15
20vsMiamiL3-1020.744411.0015

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
9.2%
Rushing plays
0.0%
Standard downs
3.9%
Passing downs
4.9%
EPA by down type
Standard downs
0.33
Passing downs
0.91
Pass / Rush EPA
0.53 / —

Usage = share of team plays (CFBD has no true snap counts).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.