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Brett Seither

#80Brett Seither

Brett Seither is a Vertical Threat 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 Brett Seither'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
11 Receptions212 Rec yards0 Rec TD19.3 Yards/rec

Performance Analysis · 2025 · vs TE peers

  • Efficiency100
  • Volume9
  • Explosiveness82
  • Consistency78
  • Pass-Down8
Player type
Vertical Threat TE

Elite deep receiver who stretches the field. Wins downfield, commands safety attention, and creates the threat that opens underneath routes.

Downfield threatYAC upsideCreates space for teammates
Peer percentiles
Opponent-adjusted EPA (WEPA/play)100th %ile · elite
Game-to-game consistency78th %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.
  • 5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.44 from the first to second half of the season.
  • Peak game: 1.69 EPA/play in Wk 2 vs Gardner-Webb.

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

+1.6901.69Wk 2 vs Gardner-Webb: +1.69 EPA/play2Wk 4 vs Temple: -0.14 EPA/play4Wk 7 vs Virginia Tech: +0.42 EPA/play7Wk 10 vs NC State: +0.86 EPA/play10Wk 12 vs Boston College: +1.42 EPA/play12Wk 13 vs Pittsburgh: +0.39 EPA/play13Wk 14 vs Georgia: +1.47 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsGardner-WebbW59-1212626.00261.69
4vsTempleW45-24-5.1144.004-0.14
7vsVirginia TechW35-20-10.112929.00290.42
10@NC StateL36-484.847318.30300.86
12@Boston CollegeW36-34-8.511010.00101.42
13vsPittsburghL28-428.412121.00210.39
14vsGeorgiaL9-1624.124924.50301.47

Usage & Situational · Pro

Snap-share proxy
Overall
3.0%
Passing plays
6.3%
Rushing plays
0.0%
Standard downs
2.3%
Passing downs
5.1%
EPA by down type
Standard downs
0.71
Passing downs
0.46
Pass / Rush EPA
0.61 / —

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.