Skip to content
Benji Gosnell

#82Benji Gosnell

Benji Gosnell is a Slot Specialist TE for Virginia 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 Benji Gosnell'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
12 Receptions86 Rec yards0 Rec TD7.2 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume9
  • Explosiveness1
  • Consistency31
  • 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 consistency31th %ile · below 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 variance — boom-or-bust profile.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.28 from the first to second half of the season.
  • Peak game: 0.94 EPA/play in Wk 4 vs Wofford.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Johnny LanganRutgers0.2400.08.9
D'Vaughn PennamonOle Miss0.2000.011.0
Kaden FeaginIllinois0.1500.07.8
Jackson AckerWisconsin0.2100.115.3
Jordan MyersRice0.2700.215.9

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

Game Log · box score + EPA, week by week

+0.9400.94Wk 1 vs South Carolina: -0.83 EPA/play1Wk 2 vs Vanderbilt: +0.12 EPA/play2Wk 3 vs Old Dominion: +0.72 EPA/play3Wk 4 vs Wofford: +0.94 EPA/play4Wk 5 vs NC State: +0.88 EPA/play5Wk 9 vs California: +0.03 EPA/play9Wk 12 vs Florida State: -0.06 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSouth CarolinaL11-245.9100.000-0.83
2vsVanderbiltL20-4420.32126.0070.12
3vsOld DominionL26-455.92189.00120.72
4vsWoffordW38-611818.00180.94
5@NC StateW23-214.83237.70140.88
9vsCaliforniaW42-34-3.22115.50110.03
12@Florida StateL14-347.2144.004-0.06

Usage & Situational · Pro

Snap-share proxy
Overall
3.1%
Passing plays
6.8%
Rushing plays
0.0%
Standard downs
1.7%
Passing downs
6.0%
EPA by down type
Standard downs
-0.35
Passing downs
0.49
Pass / Rush EPA
0.19 / —

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.