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Dean Patterson

#11Dean Patterson

Dean Patterson is a Vertical Threat WR for Georgia Tech.

What projects, and what doesn't · WRs · 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)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Dean Patterson'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
8 Receptions150 Rec yards2 Rec TD18.8 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume7
  • Explosiveness78
  • Consistency0
  • Pass-Down72
Player type
Vertical Threat WR

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)0th %ile · below avg
Game-to-game consistency0th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 3.05 EPA/play in Wk 9 vs Syracuse (SP+ -13).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local 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 · WR · 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
De'Michael HarrisSouthern Miss0.1300.715.2
Amare JonesTulane0.1800.012.8
Hyleck FosterMarshall0.1800.518.2
Davis BrysonKennesaw State0.2000.019.4
Eli HeidenreichNavy0.2200.815.4

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

Game Log · box score + EPA, week by week

+3.0503.05Wk 2 vs Gardner-Webb: -0.60 EPA/play2Wk 3 vs Clemson: +0.39 EPA/play3Wk 7 vs Virginia Tech: -1.81 EPA/play7Wk 9 vs Syracuse: +3.05 EPA/play9
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2vsGardner-WebbW59-1238729.0184-0.60
3vsClemsonW24-219.5166.0060.39
7vsVirginia TechW35-20-10.1111.001-1.81
9vsSyracuseW41-16-13.113737.01373.05
20vsBYUL21-2515.92199.5010

Usage & Situational · Pro

Snap-share proxy
Overall
2.5%
Passing plays
5.4%
Rushing plays
0.0%
Standard downs
2.3%
Passing downs
3.0%
EPA by down type
Standard downs
-0.26
Passing downs
-0.13
Pass / Rush EPA
-0.22 / —

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.