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Clayton Coppock

Clayton Coppock

Clayton Coppock is a Slot Specialist WR for Kennesaw State. Clayton's 2025 season produced 13.4 total EPA across 44 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 Clayton Coppock'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
47 Rush yards1 Rush TD12 Carries3.9 Yards/carry
Receiving
28 Receptions311 Rec yards5 Rec TD11.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume18
  • Explosiveness27
  • Consistency35
  • Pass-Down87
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 consistency35th %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.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.30 EPA/play decline from first to second half.
  • Peak game: 1.71 EPA/play in Wk 7 vs Louisiana Tech (SP+ -1).

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 ThompsonVirginia0.3200.412.5
Nick NashSan José State0.3100.514.0
Ainias SmithTexas A&M0.3100.517.0
Cade HarrisAir Force0.3300.514.8
Xavier WhiteTexas Tech0.3000.518.6

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

Game Log · box score + EPA, week by week

+1.7101.71Wk 5 vs Middle Tennessee: +1.16 EPA/play5Wk 7 vs Louisiana Tech: +1.71 EPA/play7Wk 9 vs Florida International: -0.98 EPA/play9Wk 10 vs UTEP: +0.35 EPA/play10Wk 11 vs New Mexico State: +0.09 EPA/play11Wk 12 vs Jacksonville State: +0.29 EPA/play12Wk 13 vs Missouri State: +0.43 EPA/play13Wk 14 vs Liberty: -0.09 EPA/play14Wk 15 vs Jacksonville State: +0.02 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
5vsMiddle TennesseeW24-16-16.02199.50181.16
7vsLouisiana TechW35-7-1.34307.51111.71
9@Florida InternationalW45-26-10.5-0.98
10vsUTEPW33-20-17.53268.70190.35
11@New Mexico StateW24-21-15.526432.01550.09
12@Jacksonville StateL26-35-6.75489.61120.29
13vsMissouri StateW41-34-10.748721.82320.43
14@LibertyW48-42-9.0393.006-0.09
15@Jacksonville StateW19-15-6.73217.00100.02
20vsWestern MichiganL6-41-1.4273.509

Usage & Situational · Pro

Snap-share proxy
Overall
6.4%
Passing plays
10.5%
Rushing plays
3.3%
Standard downs
5.0%
Passing downs
9.3%
EPA by down type
Standard downs
0.20
Passing downs
0.42
Pass / Rush EPA
0.36 / 0.14

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.