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Luke Harpring
Luke Harpring

#15Luke Harpring

TE·Georgia Tech·2025

Luke Harpring is a Slot Specialist TE for Georgia Tech.

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 Harpring'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.

2025 Production

Receiving
13 Receptions158 Rec yards0 Rec TD12.2 Yards/rec
Returns
1 Kick returns6 KR yards0 KR TD

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume9
  • Explosiveness34
  • Consistency83
  • Pass-Down45
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 consistency83th %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.
  • ▸6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • ▸Strong second-half surge — EPA/play improved 0.21 from the first to second half of the season.
  • ▸Peak game: 2.00 EPA/play in Wk 9 vs Syracuse (SP+ -13).

NIL Market Tier· 2025

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

+2.000−2.00Wk 1 vs Colorado: +0.89 EPA/play1Wk 2 vs Gardner-Webb: +0.09 EPA/play2Wk 5 vs Wake Forest: +1.93 EPA/play5Wk 7 vs Virginia Tech: +1.28 EPA/play7Wk 8 vs Duke: +0.95 EPA/play8Wk 9 vs Syracuse: +2.00 EPA/play9Wk 10 vs NC State: +0.58 EPA/play10
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@ColoradoW27-20-8.32189.00130.89
2vsGardner-WebbW59-12—155.0050.09
5@Wake ForestW30-295.711414.00141.93
7vsVirginia TechW35-20-10.133913.00201.28
8@DukeW27-186.612424.00240.95
9vsSyracuseW41-16-13.1177.0072.00
10@NC StateL36-484.845112.80270.58

Usage & Situational · Pro

Snap-share proxy
Overall
3.3%
Passing plays
7.3%
Rushing plays
0.0%
Standard downs
2.7%
Passing downs
5.4%
EPA by down type
Standard downs
0.77
Passing downs
0.74
Pass / Rush EPA
0.76 / —

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.