#9Byron Marshall

WR·Oregon·20130.2 pts line value1st Round

Byron Marshall is a Versatile WR for Oregon. Byron's 2013 season ranks in the 57th percentile nationally by opponent-adjusted EPA per play across 143 plays — a average rate for the WR.

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 Byron Marshall'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.

2013 Production

Rushing

1038 Rush yards14 Rush TD168 Carries6.2 Yards/carry

Receiving

13 Receptions155 Rec yards0 Rec TD11.9 Yards/rec

Performance Analysis · 2013 · vs WR peers

Efficiency57
Volume59
Explosiveness33
Consistency0
Pass-Down54

Player type

Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role

Peer percentiles

Opponent-adjusted EPA (WEPA/play)57th %ile · average

Game-to-game consistency0th %ile · below avg

Key findings

▸High game-to-game variance — boom-or-bust profile.
▸3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.20 EPA/play decline from first to second half.
▸Peak game: 0.62 EPA/play in Wk 1 vs Nicholls.

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
De'Michael Harris	Southern Miss	2019	117	0.130	0.7	15.2
Shai Werts	Georgia Southern	2017	161	0.150	0.0	24.2
Hyleck Foster	Marshall	2015	101	0.180	0.5	18.2
D.J. Foster	Arizona State	2014	174	0.200	1.0	34.8
Davis Bryson	Kennesaw State	2024	97	0.200	0.0	19.4

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

Game Log · box score + EPA, week by week

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	vsNicholls	W66-3	—	1	8	8.0	0	8	0.62
2	@Virginia	W59-10	-5.2	1	0	0.0	0	0	-0.52
3	vsTennessee	W59-14	5.1	1	36	36.0	0	36	0.60
5	vsCalifornia	W55-16	-8.7	3	12	4.0	0	6	0.08
6	@Colorado	W57-16	-0.7	2	17	8.5	0	12	0.10
7	@Washington	W45-24	20.5	—	—	—	—	—	0.20
8	vsWashington State	W62-38	8.2	2	54	27.0	0	35	0.61
9	vsUCLA	W42-14	20.0	1	23	23.0	0	23	0.00
11	@Stanford	L20-26	21.7	—	—	—	—	—	-0.04
12	vsUtah	W44-21	11.8	—	—	—	—	—	-0.26
13	@Arizona	L16-42	14.6	—	—	—	—	—	-0.25
1	vsTexas	W30-7	10.5	2	5	2.5	0	3	-0.17

Usage & Situational · Pro

Snap-share proxy

Overall

20.6%

Passing plays

3.8%

Rushing plays

33.3%

Standard downs

21.5%

Passing downs

18.5%

EPA by down type

Standard downs: 0.02
Passing downs: 0.05
Pass / Rush EPA: 0.39 / -0.00

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg

EPA per play · 2013 · 12 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.