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Cam Cook

#4Cam Cook

Cam Cook is a Featured Back for West Virginia.

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 Cam Cook'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

Rushing
194 Rush yards3 Rush TD40 Carries4.8 Yards/carry
Receiving
2 Receptions11 Rec yards0 Rec TD5.5 Yards/rec

Performance Analysis · 2026 · vs RB peers

  • Efficiency0
  • Volume84
  • Explosiveness36
  • Consistency50
  • Receiving46
Player type
Featured Back

The centerpiece of the run game — high carry volume, used in early downs and goal-line, true workhorse role.

Primary ball carrierHigh volumeGoal-line threat
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • High-volume role — one of the team's most-used RBs by play share.

NIL Market Tier· 2026

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

+0.1700.17Wk 1 vs Coastal Carolina: -0.03 EPA/play1Wk 2 vs UT Martin: +0.17 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsCoastal CarolinaW31-24-12.1301424.722110-0.03
2vsUT MartinW52-710525.210.17

Usage & Situational · Pro

Snap-share proxy
Overall
29.3%
Passing plays
7.4%
Rushing plays
35.1%
Standard downs
29.0%
Passing downs
30.3%
EPA by down type
Standard downs
0.04
Passing downs
-0.04
Pass / Rush EPA
0.87 / -0.02

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.660−0.08
EPA per play · 2025 · 13 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.