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Ayden Greene

#0Ayden Greene

Ayden Greene is a Versatile WR for Virginia Tech. Ayden's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 57 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 Ayden Greene'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
31 Receptions516 Rec yards3 Rec TD16.6 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume23
  • Explosiveness64
  • Consistency61
  • 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 consistency61th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 7 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 0.11 from the first to second half of the season.
  • Peak game: 1.63 EPA/play in Wk 3 vs Old Dominion (SP+ 6).

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
Dane KinamonAir Force0.4100.716.0
Micah DavisAir Force0.3700.616.3
Keytaon ThompsonVirginia0.3700.615.2
Zach AbeyNavy0.3700.825.9
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

+1.6301.63Wk 1 vs South Carolina: +1.55 EPA/play1Wk 2 vs Vanderbilt: -0.32 EPA/play2Wk 3 vs Old Dominion: +1.63 EPA/play3Wk 4 vs Wofford: +0.51 EPA/play4Wk 5 vs NC State: -0.15 EPA/play5Wk 6 vs Wake Forest: -0.34 EPA/play6Wk 7 vs Georgia Tech: +0.55 EPA/play7Wk 9 vs California: +1.50 EPA/play9Wk 10 vs Louisville: -0.40 EPA/play10Wk 12 vs Florida State: +0.78 EPA/play12Wk 13 vs Miami: +1.34 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth CarolinaL11-245.957114.20361.55
2vsVanderbiltL20-4420.32105.005-0.32
3vsOld DominionL26-455.916767.00671.63
4vsWoffordW38-645213.01180.51
5@NC StateW23-214.834414.7036-0.15
6vsWake ForestL23-305.72157.5015-0.34
7@Georgia TechL20-359.347218.00360.55
9vsCaliforniaW42-34-3.223417.01271.50
10vsLouisvilleL16-2812.411717.0017-0.40
12@Florida StateL14-347.223919.51310.78
13vsMiamiL17-3420.759519.00391.34

Usage & Situational · Pro

Snap-share proxy
Overall
8.1%
Passing plays
18.2%
Rushing plays
0.0%
Standard downs
7.2%
Passing downs
9.8%
EPA by down type
Standard downs
0.17
Passing downs
0.80
Pass / Rush EPA
0.41 / —

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.