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Darrius Clemons

#4Darrius Clemons

Darrius Clemons is a Versatile WR for Washington State.

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 Darrius Clemons'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.

2026 Production

Receiving
6 Receptions67 Rec yards0 Rec TD11.2 Yards/rec

Performance Analysis · 2026 · vs WR peers

  • Efficiency100
  • Volume29
  • Explosiveness28
  • Consistency50
  • Pass-Down0
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
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Peak game: 0.45 EPA/play in Wk 1 vs Washington (SP+ 12).

NIL Market Tier· 2026

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 ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Cade HarrisAir Force0.3300.514.8
Ainias SmithTexas A&M0.3100.517.0
Tyler BuchnerNotre Dame0.2500.312.8

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

Game Log · box score + EPA, week by week

+0.4500.45Wk 1 vs Washington: +0.45 EPA/play1Wk 2 vs Kansas State: +0.17 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@WashingtonL10-2412.034013.30180.45
2@Kansas StateL7-3412.73279.00120.17

Usage & Situational · Pro

Snap-share proxy
Overall
10.1%
Passing plays
21.2%
Rushing plays
0.0%
Standard downs
10.3%
Passing downs
9.8%
EPA by down type
Standard downs
0.65
Passing downs
-0.32
Pass / Rush EPA
0.30 / —

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.