Skip to content
David Clerk

#26David Clerk

WR·Army·2025

David Clerk is a Slot Specialist WR for Army.

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 David Clerk'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.

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume4
  • Explosiveness100
  • Consistency50
  • 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
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 0.95 EPA/play in Wk 6 vs UAB (SP+ -16).

NIL Market Tier· 2025

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.

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
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · EPA per play, week by week

+0.9500.95Wk 2 vs Kansas State: +0.09 EPA/play2Wk 6 vs UAB: +0.95 EPA/play6
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+EPA/playPassRush
2@Kansas StateW24-217.00.090.09
6@UABW31-13-15.80.950.95

Usage & Situational · Pro

Snap-share proxy
Overall
1.4%
Passing plays
0.0%
Rushing plays
1.6%
Standard downs
0.9%
Passing downs
2.9%
EPA by down type
Standard downs
0.09
Passing downs
0.95
Pass / Rush EPA
— / 0.52

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.