Skip to content
John Copenhaver

#81John Copenhaver

John Copenhaver is a Slot Specialist TE for North Carolina. John's 2024 season produced 31.7 total EPA across 40 plays.

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 John Copenhaver'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.

2024 Production

Receiving
40 Receptions414 Rec yards4 Rec TD10.3 Yards/rec

Performance Analysis · 2024 · vs TE peers

  • Efficiency100
  • Volume17
  • Explosiveness22
  • Consistency84
  • Pass-Down100
Player type
Slot Specialist TE

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 consistency84th %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.
  • 7 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 — 0.71 EPA/play decline from first to second half.
  • Peak game: 1.57 EPA/play in Wk 4 vs James Madison (SP+ 8).

NIL Market Tier· 2024

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

+1.5701.57Wk 3 vs North Carolina Central: +0.98 EPA/play3Wk 4 vs James Madison: +1.57 EPA/play4Wk 5 vs Duke: +1.28 EPA/play5Wk 6 vs Pittsburgh: +1.23 EPA/play6Wk 7 vs Georgia Tech: +1.31 EPA/play7Wk 9 vs Virginia: +0.19 EPA/play9Wk 10 vs Florida State: +0.12 EPA/play10Wk 12 vs Wake Forest: +1.29 EPA/play12Wk 13 vs Boston College: +0.91 EPA/play13Wk 14 vs NC State: +0.30 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsCharlotteW38-20-15.3294.508
3vsNorth Carolina CentralW45-1066010.01230.98
4vsJames MadisonL50-707.536220.71351.57
5@DukeL20-215.611515.00151.28
6vsPittsburghL24-344.94328.01111.23
7vsGeorgia TechL34-411.92157.50121.31
9@VirginiaW41-14-5.14246.0090.19
10@Florida StateW35-11-3.24307.50160.12
12vsWake ForestW31-24-5.733311.00181.29
13@Boston CollegeL21-411.246416.00250.91
14vsNC StateL30-353.93268.70190.30
20vsUConnL14-271.544411.0123

Usage & Situational · Pro

Snap-share proxy
Overall
6.0%
Passing plays
11.9%
Rushing plays
0.5%
Standard downs
3.9%
Passing downs
10.4%
EPA by down type
Standard downs
0.60
Passing downs
0.93
Pass / Rush EPA
0.76 / 1.42

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.