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Jayden Moore

#8Jayden Moore

WR·Duke·2025

Jayden Moore is a Slot Specialist WR for Duke.

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 Jayden Moore'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
7 Receptions42 Rec yards0 Rec TD6.0 Yards/rec
Returns
3 Kick returns76 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume11
  • Explosiveness0
  • Consistency0
  • Pass-Down100
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 consistency0th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.83 EPA/play in Wk 2 vs Illinois (SP+ 13).

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

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

Game Log · box score + EPA, week by week

+0.8300.83Wk 1 vs Elon: +0.18 EPA/play1Wk 2 vs Illinois: +0.83 EPA/play2Wk 13 vs North Carolina: -0.64 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsElonW45-173227.30150.18
2vsIllinoisL19-4512.922512.50130.83
6@CaliforniaW45-21-3.2
11@UConnL34-375.1
13@North CarolinaW32-25-6.62-5-2.500-0.64

Usage & Situational · Pro

Snap-share proxy
Overall
3.7%
Passing plays
6.6%
Rushing plays
0.0%
Standard downs
2.6%
Passing downs
6.3%
EPA by down type
Standard downs
-0.12
Passing downs
1.01
Pass / Rush EPA
0.38 / —

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.