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Dylan Wade

#0Dylan Wade

TE·UCF·2025

Dylan Wade is a Versatile TE for UCF. Dylan's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 55 plays — a elite rate for the TE.

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 Dylan Wade'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
43 Receptions523 Rec yards5 Rec TD12.2 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume23
  • Explosiveness34
  • Consistency50
  • Pass-Down0
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 consistency50th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.62 from the first to second half of the season.
  • Peak game: 2.58 EPA/play in Wk 13 vs Oklahoma State (SP+ -15).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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

+2.5802.58Wk 1 vs Jacksonville State: +0.27 EPA/play1Wk 4 vs North Carolina: +0.07 EPA/play4Wk 6 vs Kansas: -0.82 EPA/play6Wk 7 vs Cincinnati: +0.47 EPA/play7Wk 8 vs West Virginia: +0.93 EPA/play8Wk 10 vs Baylor: +0.16 EPA/play10Wk 11 vs Houston: +0.42 EPA/play11Wk 12 vs Texas Tech: +0.73 EPA/play12Wk 13 vs Oklahoma State: +2.58 EPA/play13Wk 14 vs BYU: +0.15 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsJacksonville StateW17-10-6.745413.51390.27
4vsNorth CarolinaW34-9-6.65479.40180.07
6vsKansasL20-274.11-1-1.000-0.82
7@CincinnatiL11-204.555511.00300.47
8vsWest VirginiaW45-13-6.833311.00140.93
10@BaylorL3-301.45346.80120.16
11vsHoustonL27-307.468013.30240.42
12@Texas TechL9-4827.66457.51120.73
13vsOklahoma StateW17-14-15.1414536.32832.58
14@BYUL21-4115.94317.81170.15

Usage & Situational · Pro

Snap-share proxy
Overall
8.0%
Passing plays
15.4%
Rushing plays
0.0%
Standard downs
8.4%
Passing downs
7.3%
EPA by down type
Standard downs
0.61
Passing downs
0.11
Pass / Rush EPA
0.45 / —

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.