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Hudson Clement
Hudson Clement

#13Hudson Clement

WR·West Virginia·2024

Hudson Clement is a Slot Specialist WR for West Virginia. Hudson's 2024 season produced 79.9 total EPA across 45 plays.

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 Hudson Clement'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.

2024 Production

Receiving
51 Receptions741 Rec yards5 Rec TD14.5 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume17
  • Explosiveness50
  • Consistency87
  • 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 consistency87th %ile · above 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 consistency — reliable floor each week.
  • ▸11 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 0.41 from the first to second half of the season.
  • ▸Peak game: 2.76 EPA/play in Wk 9 vs Arizona (SP+ -3).

NIL Market Tier· 2024

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

+2.760−2.76Wk 1 vs Penn State: +2.75 EPA/play1Wk 2 vs UAlbany: +1.10 EPA/play2Wk 3 vs Pittsburgh: +0.45 EPA/play3Wk 4 vs Kansas: +1.74 EPA/play4Wk 6 vs Oklahoma State: +2.06 EPA/play6Wk 7 vs Iowa State: +1.17 EPA/play7Wk 8 vs Kansas State: +1.21 EPA/play8Wk 9 vs Arizona: +2.76 EPA/play9Wk 12 vs Baylor: +2.71 EPA/play12Wk 13 vs UCF: +1.76 EPA/play13Wk 14 vs Texas Tech: +1.35 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsPenn StateL12-3424.623417.00202.75
2vsUAlbanyW49-14—4399.81171.10
3@PittsburghL34-384.9188.0080.45
4vsKansasW32-284.9715021.40391.74
6@Oklahoma StateW38-14-2.636421.30402.06
7vsIowa StateL16-2810.35397.80101.17
8vsKansas StateL18-4514.14297.31121.21
9@ArizonaW31-26-2.822010.01172.76
12vsBaylorL35-498.437123.70442.71
13vsUCFW31-212.858116.20261.76
14@Texas TechL15-524.344010.00151.35
20vsMemphisL37-429.61116615.1237—

Usage & Situational · Pro

Snap-share proxy
Overall
6.0%
Passing plays
13.6%
Rushing plays
0.0%
Standard downs
4.6%
Passing downs
8.7%
EPA by down type
Standard downs
1.19
Passing downs
2.50
Pass / Rush EPA
1.78 / —

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.