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Dariyan Wiley

#1Dariyan Wiley

Dariyan Wiley is a Slot Specialist WR for UL Monroe.

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 Dariyan Wiley'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.

2023 Production

Receiving
24 Receptions400 Rec yards2 Rec TD16.7 Yards/rec

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume11
  • Explosiveness64
  • Consistency60
  • Pass-Down20
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 consistency60th %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.
  • Strong second-half surge — EPA/play improved 0.74 from the first to second half of the season.
  • Peak game: 3.63 EPA/play in Wk 10 vs Southern Miss (SP+ -14).

NIL Market Tier· 2023

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.

Game Log · box score + EPA, week by week

+3.6303.63Wk 1 vs Army: -0.47 EPA/play1Wk 2 vs Lamar: -0.19 EPA/play2Wk 3 vs Texas A&M: +0.72 EPA/play3Wk 5 vs App State: +2.65 EPA/play5Wk 6 vs South Alabama: +0.21 EPA/play6Wk 8 vs Georgia Southern: +1.15 EPA/play8Wk 9 vs Arkansas State: +0.47 EPA/play9Wk 10 vs Southern Miss: +3.63 EPA/play10Wk 11 vs Troy: +1.54 EPA/play11Wk 13 vs Louisiana: -0.18 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsArmyW17-13-4.0111.001-0.47
2vsLamarW24-14133.003-0.19
3@Texas A&ML3-4715.635217.30320.72
5vsApp StateL40-413.848020.01452.65
6vsSouth AlabamaL7-555.1166.0060.21
8@Georgia SouthernL28-38-5.223316.50191.15
9vsArkansas StateL24-34-6.34287.0080.47
10@Southern MissL7-24-14.4313745.71683.63
11vsTroyL14-459.845714.30211.54
13@LouisianaL21-520.4133.003-0.18

Usage & Situational · Pro

Snap-share proxy
Overall
3.8%
Passing plays
7.5%
Rushing plays
0.0%
Standard downs
2.9%
Passing downs
5.4%
EPA by down type
Standard downs
1.40
Passing downs
1.22
Pass / Rush EPA
1.31 / —

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.