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Wyatt Sullivan

#8Wyatt Sullivan

Wyatt Sullivan is a Slot Specialist TE for South Florida.

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 Wyatt Sullivan'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
18 Receptions176 Rec yards2 Rec TD9.8 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume9
  • Explosiveness19
  • Consistency56
  • Pass-Down0
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 consistency56th %ile · average
Key findings
  • Top-10% efficiency among TEs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 2.23 from the first to second half of the season.
  • Peak game: 3.59 EPA/play in Wk 8 vs Florida Atlantic (SP+ -9).

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

+3.5903.59Wk 1 vs Boise State: -0.33 EPA/play1Wk 2 vs Florida: -0.42 EPA/play2Wk 3 vs Miami: +0.66 EPA/play3Wk 6 vs Charlotte: -0.88 EPA/play6Wk 7 vs North Texas: +0.94 EPA/play7Wk 8 vs Florida Atlantic: +3.59 EPA/play8Wk 9 vs Memphis: +0.55 EPA/play9Wk 12 vs Navy: +3.03 EPA/play12Wk 13 vs UAB: +1.73 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsBoise StateW34-73.1133.003-0.33
2@FloridaW18-163.52178.5015-0.42
3@MiamiL12-4920.755511.00300.66
6vsCharlotteW54-26-26.7111.001-0.88
7@North TexasW63-3613.822211.00150.94
8vsFlorida AtlanticW48-13-8.712424.01243.59
9@MemphisL31-347.62199.50100.55
12@NavyL38-416.211919.00193.03
13@UABW48-18-15.82178.51111.73
20vsOld DominionL10-245.91-1-1.000

Usage & Situational · Pro

Snap-share proxy
Overall
3.3%
Passing plays
6.9%
Rushing plays
0.0%
Standard downs
2.5%
Passing downs
5.0%
EPA by down type
Standard downs
1.16
Passing downs
-0.07
Pass / Rush EPA
0.52 / —

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.