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Shawn Miller

#1Shawn Miller

Shawn Miller is a Versatile WR for New Mexico.

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 Shawn Miller'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
15 Receptions199 Rec yards1 Rec TD13.3 Yards/rec
Returns
2 Punt returns-16 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume11
  • Explosiveness42
  • Consistency48
  • Pass-Down0
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency48th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 1.26 EPA/play decline from first to second half.
  • Peak game: 2.35 EPA/play in Wk 3 vs UCLA (SP+ -9).

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
Dane KinamonAir Force0.4100.716.0
Keytaon ThompsonVirginia0.3700.615.2
Micah DavisAir Force0.3700.616.3
Savion WilliamsTCU0.4501.125.2
JoJo NatsonUtah State0.3901.019.9

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

Game Log · box score + EPA, week by week

+2.3502.35Wk 3 vs UCLA: +2.35 EPA/play3Wk 5 vs New Mexico State: +0.87 EPA/play5Wk 6 vs San José State: +1.47 EPA/play6Wk 7 vs Boise State: -0.29 EPA/play7Wk 8 vs Nevada: -0.47 EPA/play8Wk 9 vs Utah State: -0.12 EPA/play9Wk 14 vs San Diego State: +0.10 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3@UCLAW35-10-8.711414.00142.35
5vsNew Mexico StateW38-20-15.548020.01310.87
6@San José StateL28-35-14.346616.50421.47
7@Boise StateL25-413.1133.003-0.29
8vsNevadaW24-22-13.4-0.47
9vsUtah StateW33-14-3.12178.5010-0.12
14vsSan Diego StateW23-176.72136.5090.10
20vsMinnesotaL17-201.5166.006

Usage & Situational · Pro

Snap-share proxy
Overall
3.9%
Passing plays
8.7%
Rushing plays
0.0%
Standard downs
4.0%
Passing downs
3.5%
EPA by down type
Standard downs
0.57
Passing downs
0.14
Pass / Rush EPA
0.46 / —

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.