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Jackson Worley

#88Jackson Worley

TE·Troy·2025

Jackson Worley is a Versatile TE for Troy.

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 Jackson Worley'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
7 Receptions57 Rec yards1 Rec TD8.1 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume7
  • Explosiveness8
  • Consistency0
  • 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 consistency0th %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.
  • Production faded as the season progressed — 2.81 EPA/play decline from first to second half.
  • Peak game: 2.05 EPA/play in Wk 7 vs Texas State (SP+ 2).

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
Johnny LanganRutgers0.3000.017.7
Evan SvobodaWyoming0.2900.521.8
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

+2.0502.05Wk 3 vs Memphis: +0.71 EPA/play3Wk 7 vs Texas State: +2.05 EPA/play7Wk 10 vs Arkansas State: +0.95 EPA/play10Wk 12 vs Old Dominion: -1.58 EPA/play12Wk 15 vs James Madison: -1.29 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
3vsMemphisL7-287.611313.00130.71
4@BuffaloW21-17-7.5
7@Texas StateW48-412.3166.0162.05
10vsArkansas StateL10-23-8.822010.00110.95
12@Old DominionL0-335.911010.0010-1.58
15@James MadisonL14-3112.31-5-5.00-5-1.29
20vsJacksonville StateL13-17-6.711313.0013

Usage & Situational · Pro

Snap-share proxy
Overall
2.4%
Passing plays
3.6%
Rushing plays
0.6%
Standard downs
2.4%
Passing downs
2.3%
EPA by down type
Standard downs
0.34
Passing downs
0.80
Pass / Rush EPA
0.50 / 0.78

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.