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Cooper Hoch

#13Cooper Hoch

Cooper Hoch is a Red Zone Weapon WR for San José State.

2026 Usage Outlook · projected share of team plays

5%
projected
band 2%'25 3%9%

Regressed toward the WR mean. Model correlation r≈0.47 on a 2019-2025 walk-forward — volume only; efficiency not projected.

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 Cooper Hoch'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

Receiving
14 Receptions216 Rec yards3 Rec TD15.4 Yards/rec

Performance Analysis · 2026 · vs WR peers

  • Efficiency100
  • Volume27
  • Explosiveness56
  • Consistency50
  • Pass-Down0
Player type
Red Zone Weapon WR

Goes from good to great inside the 20 — high TD conversion on limited looks makes this receiver a scoring machine.

Red zone targetHigh TD rateSize/catch radius advantage
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.
  • Peak game: 2.38 EPA/play in Wk 1 vs Eastern Michigan (SP+ -16).

NIL Market Tier· 2026

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
Quadree HendersonPittsburgh0.5301.633.4

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

Game Log · box score + EPA, week by week

+2.3802.38Wk 1 vs Eastern Michigan: +2.38 EPA/play1Wk 2 vs Cal Poly: +0.37 EPA/play2
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
0@USCL26-4217.722412.0013
1@Eastern MichiganW27-21-15.6511523.02512.38
2vsCal PolyW30-2077711.01320.37

Usage & Situational · Pro

Snap-share proxy
Overall
9.4%
Passing plays
18.7%
Rushing plays
0.0%
Standard downs
8.0%
Passing downs
11.8%
EPA by down type
Standard downs
1.08
Passing downs
0.74
Pass / Rush EPA
0.92 / —

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.