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Cameron Harpole

#9Cameron Harpole

Cameron Harpole is a Versatile TE for San Diego State.

What projects, and what doesn't · TEs · 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)0.42
    Beats guessing the TE average by 9%. n=2,225 TE seasons
  • EPA per play (efficiency)0.04
    Not projectable — we do not forecast this. n=2,016 TE seasons
  • Total EPA (value)0.46
    Beats guessing the TE average by 13%. n=2,016 TE seasons

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

2023 Production

Receiving
7 Receptions69 Rec yards0 Rec TD9.9 Yards/rec

Performance Analysis · 2023 · vs TE peers

  • Efficiency100
  • Volume7
  • Explosiveness19
  • Consistency81
  • Pass-Down100
Player type
Versatile TE

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency81th %ile · above avg
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game consistency — reliable floor each week.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.04 EPA/play in Wk 13 vs Fresno State (SP+ 3).

NIL Market Tier· 2023

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 · TE · 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
Ty ThompsonTulane0.4200.720.2
Seth GreenMinnesota0.3900.032.4

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

Game Log · box score + EPA, week by week

+1.0401.04Wk 1 vs Idaho State: +1.01 EPA/play1Wk 4 vs Boise State: +0.28 EPA/play4Wk 5 vs Air Force: +0.84 EPA/play5Wk 11 vs Colorado State: +0.04 EPA/play11Wk 13 vs Fresno State: +1.04 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsIdaho StateW36-28144.0041.01
4vsBoise StateL31-345.9166.0060.28
5@Air ForceL10-495.9188.0080.84
11@Colorado StateL19-22-8.9155.0050.04
13vsFresno StateW33-182.534615.30211.04

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
6.4%
Rushing plays
0.0%
Standard downs
2.2%
Passing downs
3.2%
EPA by down type
Standard downs
0.62
Passing downs
1.08
Pass / Rush EPA
0.79 / —

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.