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Dawson Pough

#3Dawson Pough

Dawson Pough is a Slot Specialist WR for Boston College.

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 Dawson Pough'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
13 Receptions197 Rec yards1 Rec TD15.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency50
  • Volume13
  • Explosiveness54
  • Consistency49
  • Pass-Down0
Player type
Slot Specialist WR

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)50th %ile · average
Game-to-game consistency49th %ile · average
Key findings
  • Limited usage share suggests a rotational or specialist role.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Production faded as the season progressed — 0.90 EPA/play decline from first to second half.
  • Peak game: 3.19 EPA/play in Wk 1 vs Fordham.

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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
Amare JonesTulane0.1800.012.8
Brandon ChatmanNavy0.2300.612.0
Tyler BuchnerNotre Dame0.2500.312.8
Amare JonesTulane0.2300.813.3
Justin LynchTemple0.2400.315.1

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

Game Log · box score + EPA, week by week

+3.1903.19Wk 1 vs Fordham: +3.19 EPA/play1Wk 5 vs California: +0.23 EPA/play5Wk 6 vs Pittsburgh: -0.04 EPA/play6Wk 8 vs UConn: +0.63 EPA/play8Wk 9 vs Louisville: -0.46 EPA/play9Wk 11 vs SMU: -0.06 EPA/play11Wk 12 vs Georgia Tech: +1.21 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsFordhamW66-1039632.01523.19
5vsCaliforniaL24-28-3.211515.00150.23
6@PittsburghL7-488.4144.004-0.04
8vsUConnL23-385.122412.00160.63
9@LouisvilleL24-3812.4263.007-0.46
11vsSMUL13-4513.423015.0029-0.06
12vsGeorgia TechL34-369.322211.00131.21

Usage & Situational · Pro

Snap-share proxy
Overall
4.4%
Passing plays
7.8%
Rushing plays
0.0%
Standard downs
3.7%
Passing downs
6.1%
EPA by down type
Standard downs
0.22
Passing downs
-0.08
Pass / Rush EPA
0.11 / —

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.
Dawson Pough Stats, EPA & Player Profile — Boston College · Gridpex