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Cam Vaughn

#17Cam Vaughn

Cam Vaughn is a Slot Specialist WR for West Virginia. Cam's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 56 plays — a elite rate for the WR.

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 Cam Vaughn'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
35 Receptions540 Rec yards4 Rec TD15.4 Yards/rec
Returns
1 Kick returns15 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume23
  • Explosiveness56
  • Consistency39
  • Pass-Down35
Player type
Slot Specialist WR

The offense's primary passing-down weapon — routes, separation, and reliability on 3rd down define this role.

3rd-down converterRoute technicianHigh passing-down share
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency39th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Peak game: 2.60 EPA/play in Wk 12 vs Arizona State (SP+ 4).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Cade HarrisAir Force0.3300.514.8
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2
Keytaon ThompsonVirginia0.3200.412.5
Ainias SmithTexas A&M0.3100.517.0

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

Game Log · box score + EPA, week by week

+2.6002.60Wk 1 vs Robert Morris: +1.07 EPA/play1Wk 2 vs Ohio: +0.08 EPA/play2Wk 3 vs Pittsburgh: -0.04 EPA/play3Wk 4 vs Kansas: -0.35 EPA/play4Wk 5 vs Utah: +1.71 EPA/play5Wk 6 vs BYU: +0.22 EPA/play6Wk 8 vs UCF: -0.73 EPA/play8Wk 9 vs TCU: +0.05 EPA/play9Wk 11 vs Colorado: +0.48 EPA/play11Wk 12 vs Arizona State: +2.60 EPA/play12Wk 14 vs Texas Tech: -0.05 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsRobert MorrisW45-3712618.01461.07
2@OhioL10-17-4.024321.50310.08
3vsPittsburghW31-248.433411.3018-0.04
4@KansasL10-414.12115.508-0.35
5vsUtahL14-4822.236220.71391.71
6@BYUL24-3815.924321.51290.22
8@UCFL13-45-1.22157.5012-0.73
9vsTCUL17-238.368514.20290.05
10@HoustonW45-357.412424.0124
11vsColoradoW29-22-8.32189.00150.48
12@Arizona StateL23-253.937926.30422.60
14vsTexas TechL0-4927.6200.003-0.05

Usage & Situational · Pro

Snap-share proxy
Overall
7.9%
Passing plays
18.3%
Rushing plays
0.2%
Standard downs
5.6%
Passing downs
13.2%
EPA by down type
Standard downs
0.40
Passing downs
0.31
Pass / Rush EPA
0.38 / -1.10

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.