#3Dawson Pough

WR·Boston College·2025

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

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

Targets

11.2y

Avg depth

17.2y

After catch

67%

Catch rate

The ball travels 11.2 yards in the air on an average target — 2.3 yards deeper than the median. Another 17.2 comes after the catch.

Where he is targeted

targets · completion rate · yards

deep

—

100% · 78y

short

50% · 1y

50% · 19y

100% · 8y

leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

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.

Player	Team	Yr	Plays	WEPA/play	Line val	Total EPA
Amare Jones	Tulane	2020	71	0.180	0.0	12.8
Brandon Chatman	Navy	2025	52	0.230	0.6	12.0
Tyler Buchner	Notre Dame	2021	51	0.250	0.3	12.8
Amare Jones	Tulane	2019	58	0.230	0.8	13.3
Justin Lynch	Temple	2021	63	0.240	0.3	15.1

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

Game Log · box score + EPA, week by week

EPA per play · x-axis: weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Rec	Rec Yds	Avg	Rec TD	Long	EPA/play
1	vsFordham	W66-10	—	3	96	32.0	1	52	3.19
5	vsCalifornia	L24-28	-3.2	1	15	15.0	0	15	0.23
6	@Pittsburgh	L7-48	8.4	1	4	4.0	0	4	-0.04
8	vsUConn	L23-38	5.1	2	24	12.0	0	16	0.63
9	@Louisville	L24-38	12.4	2	6	3.0	0	7	-0.46
11	vsSMU	L13-45	13.4	2	30	15.0	0	29	-0.06
12	vsGeorgia Tech	L34-36	9.3	2	22	11.0	0	13	1.21

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).