#11Nick Marsh

WR·Michigan State·2025

Nick Marsh is a Versatile WR for Michigan State. Nick's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 103 plays — a elite 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 Nick Marsh'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

59 Receptions662 Rec yards6 Rec TD11.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume40
Explosiveness28
Consistency51
Pass-Down42

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 consistency51th %ile · average

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.31 EPA/play decline from first to second half.
▸Peak game: 1.47 EPA/play in Wk 3 vs Youngstown State.

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Malik Dunner	Ball State	2017	76	0.290	0.4	22.0
Chris Tyree	Notre Dame	2020	76	0.310	0.6	23.6
Noah Short	Army	2024	69	0.300	0.5	20.7
Davis Bryson	Kennesaw State	2024	97	0.200	0.0	19.4
Samajie Grant	Arizona	2016	62	0.250	0.3	15.5

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	vsWestern Michigan	W23-6	-1.4	5	32	6.4	1	8	0.78
2	vsBoston College	W42-40	-8.5	5	68	13.6	2	41	0.27
3	vsYoungstown State	W41-24	—	6	94	15.7	0	28	1.47
4	@USC	L31-45	16.9	2	28	14.0	0	19	0.12
6	@Nebraska	L27-38	6.2	4	41	10.3	0	13	0.03
7	vsUCLA	L13-38	-8.7	7	77	11.0	1	22	0.18
8	@Indiana	L13-38	32.4	7	64	9.1	1	16	0.79
9	vsMichigan	L20-31	12.4	6	75	12.5	0	24	0.11
10	@Minnesota	L20-23	1.5	4	75	18.8	0	48	0.63
12	vsPenn State	L10-28	18.1	2	5	2.5	0	3	-0.66
13	@Iowa	L17-20	19.7	4	18	4.5	0	9	-0.20
14	vsMaryland	W38-28	0.6	7	85	12.1	1	24	0.34

Usage & Situational · Pro

Snap-share proxy

Overall

13.9%

Passing plays

25.9%

Rushing plays

1.1%

Standard downs

12.5%

Passing downs

17.2%

EPA by down type

Standard downs: 0.30
Passing downs: 0.25
Pass / Rush EPA: 0.28 / 0.35

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