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Luke Dehnicke

#84Luke Dehnicke

Luke Dehnicke is a Vertical Threat TE for Northwestern.

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 Luke Dehnicke'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
2 Receptions41 Rec yards0 Rec TD20.5 Yards/rec

Performance Analysis · 2026 · vs TE peers

  • Efficiency0
  • Volume16
  • Explosiveness90
  • Consistency50
  • Pass-Down92
Player type
Vertical Threat TE

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Key findings
  • Below-average efficiency vs TE peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.

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.

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
Robby PreckelNorthwestern0.0600.12.5
A.J. DoyleMassachusetts0.0400.02.1
Blake BellOklahoma0.0700.14.4
Kaden FeaginIllinois0.1500.07.8
Jaheim BellSouth Carolina0.1100.08.0

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

Game Log · box score + EPA, week by week

WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth Dakota StateW34-1824120.50350.03

Usage & Situational · Pro

Snap-share proxy
Overall
5.5%
Passing plays
11.5%
Rushing plays
0.0%
Standard downs
5.6%
Passing downs
5.3%
EPA by down type
Standard downs
-0.05
Passing downs
0.20
Pass / Rush EPA
0.03 / —

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.