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Cameron Seldon

#0Cameron Seldon

Cameron Seldon is a Versatile WR for Virginia Tech.

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 Cameron Seldon'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
23 Receptions165 Rec yards2 Rec TD7.2 Yards/rec
Returns
4 Kick returns54 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume12
  • Explosiveness1
  • Consistency58
  • Pass-Down100
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 consistency58th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.34 from the first to second half of the season.
  • Peak game: 1.39 EPA/play in Wk 14 vs Virginia (SP+ 11).

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
Keytaon ThompsonVirginia0.3700.615.2
Dane KinamonAir Force0.4100.716.0
Micah DavisAir Force0.3700.616.3
Cade HarrisAir Force0.3300.514.8
Keytaon ThompsonVirginia0.3200.412.5

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

Game Log · box score + EPA, week by week

+1.3901.39Wk 1 vs South Carolina: +0.19 EPA/play1Wk 2 vs Vanderbilt: -0.20 EPA/play2Wk 3 vs Old Dominion: -0.01 EPA/play3Wk 4 vs Wofford: +0.51 EPA/play4Wk 5 vs NC State: +0.93 EPA/play5Wk 6 vs Wake Forest: +0.19 EPA/play6Wk 9 vs California: +1.03 EPA/play9Wk 10 vs Louisville: +0.75 EPA/play10Wk 12 vs Florida State: +0.81 EPA/play12Wk 13 vs Miami: -0.84 EPA/play13Wk 14 vs Virginia: +1.39 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth CarolinaL11-245.93186.00100.19
2vsVanderbiltL20-4420.33103.307-0.20
3vsOld DominionL26-455.9294.505-0.01
4vsWoffordW38-633110.30210.51
5@NC StateW23-214.85428.41220.93
6vsWake ForestL23-305.7294.5050.19
9vsCaliforniaW42-34-3.211010.00101.03
10vsLouisvilleL16-2812.42147.0190.75
12@Florida StateL14-347.222211.00190.81
13vsMiamiL17-3420.7-0.84
14@VirginiaL7-2711.11.39

Usage & Situational · Pro

Snap-share proxy
Overall
4.2%
Passing plays
7.4%
Rushing plays
1.8%
Standard downs
4.6%
Passing downs
3.4%
EPA by down type
Standard downs
0.23
Passing downs
0.84
Pass / Rush EPA
0.56 / -0.21

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.