#2Matthew Golden

WR·Houston·2023

Matthew Golden is a Versatile WR for Houston. Matthew's 2023 season produced 37.7 total EPA across 44 plays.

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 Matthew Golden'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.

2023 Production

Receiving

38 Receptions404 Rec yards6 Rec TD10.6 Yards/rec

Returns

9 Kick returns321 KR yards2 KR TD

Performance Analysis · 2023 · vs WR peers

Efficiency100
Volume21
Explosiveness24
Consistency78
Pass-Down71

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)100th %ile · elite

Game-to-game consistency78th %ile · above avg

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game consistency — reliable floor each week.
▸7 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Strong second-half surge — EPA/play improved 0.10 from the first to second half of the season.
▸Peak game: 1.54 EPA/play in Wk 7 vs West Virginia (SP+ 8).

NIL Market Tier· 2023

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 · 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
Quadree Henderson	Pittsburgh	2016	63	0.530	1.6	33.4
DeAndre Hughes	Air Force	2021	60	0.470	1.3	28.2
Keytaon Thompson	Mississippi State	2017	70	0.460	1.2	32.2
Bert Emanuel Jr.	Central Michigan	2022	53	0.460	1.6	24.4
Savion Williams	TCU	2024	56	0.450	1.1	25.2

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	vsUTSA	W17-14	5.4	4	36	9.0	1	12	1.14
2	@Rice	L41-43	-10.2	5	60	12.0	2	39	-0.14
3	vsTCU	L13-36	7.9	4	56	14.0	0	21	1.18
4	vsSam Houston	W38-7	-13.8	9	92	10.2	1	34	1.29
5	@Texas Tech	L28-49	6.1	2	17	8.5	0	10	1.54
7	vsWest Virginia	W41-39	7.5	3	34	11.3	0	16	1.54
8	vsTexas	L24-31	23.2	7	88	12.6	2	32	1.50
9	@Kansas State	L0-41	16.2	3	6	2.0	0	4	-0.58
10	@Baylor	W25-24	-8.3	1	15	15.0	0	15	1.40

Usage & Situational · Pro

Snap-share proxy

Overall

7.5%

Passing plays

13.1%

Rushing plays

0.0%

Standard downs

7.5%

Passing downs

7.5%

EPA by down type

Standard downs: 0.82
Passing downs: 0.94
Pass / Rush EPA: 0.86 / —

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