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Kenyon Clay

#5Kenyon Clay

Kenyon Clay is a Pass-Catching Back for Arkansas State.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Kenyon Clay'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

Rushing
523 Rush yards3 Rush TD139 Carries3.8 Yards/carry
Receiving
37 Receptions205 Rec yards3 Rec TD5.5 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency0
  • Volume52
  • Explosiveness16
  • Consistency0
  • Receiving72
Player type
Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.47 EPA/play in Wk 4 vs Kennesaw State (SP+ -5).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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

+0.6700.67Wk 1 vs Southeast Missouri State: -0.01 EPA/play1Wk 2 vs Arkansas: -0.67 EPA/play2Wk 3 vs Iowa State: -0.02 EPA/play3Wk 4 vs Kennesaw State: +0.47 EPA/play4Wk 5 vs UL Monroe: -0.54 EPA/play5Wk 6 vs Texas State: +0.41 EPA/play6Wk 8 vs South Alabama: -0.20 EPA/play8Wk 9 vs Georgia Southern: +0.35 EPA/play9Wk 10 vs Troy: -0.21 EPA/play10Wk 11 vs Southern Miss: -0.01 EPA/play11Wk 13 vs Louisiana: -0.15 EPA/play13Wk 14 vs App State: -0.04 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSoutheast Missouri StateW42-2415412.71170-0.01
2vsArkansasL14-565.112282.304150-0.67
3vsIowa StateL16-249.913513.90230-0.02
4@Kennesaw StateL21-28-5.45265.2063510.47
5@UL MonroeL16-28-21.66203.302-60-0.54
6vsTexas StateW31-302.38283.5055810.41
8@South AlabamaW15-14-12.79283.103110-0.20
9vsGeorgia SouthernW34-24-9.4171247.312700.35
10@TroyW23-10-4.816402.503150-0.21
11vsSouthern MissL21-27-7.18192.404171-0.01
13vsLouisianaL30-34-10.15132.60-0.15
14@App StateW30-29-11.414523.714300-0.04
20vsMissouri StateW34-28-10.711534.801130

Usage & Situational · Pro

Snap-share proxy
Overall
18.1%
Passing plays
7.2%
Rushing plays
32.6%
Standard downs
21.2%
Passing downs
11.0%
EPA by down type
Standard downs
-0.06
Passing downs
0.34
Pass / Rush EPA
0.17 / -0.03

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.