#14Mikey Welsh

WR·San Diego State·2025

Mikey Welsh is a Slot Specialist WR for San Diego State.

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 Mikey Welsh'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

12 Receptions129 Rec yards0 Rec TD10.8 Yards/rec

Returns

8 Punt returns31 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume11
Explosiveness25
Consistency48
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)100th %ile · elite

Game-to-game consistency48th %ile · average

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸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 — 0.87 EPA/play decline from first to second half.
▸Peak game: 2.91 EPA/play in Wk 1 vs Stony Brook.

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
Keytaon Thompson	Virginia	2020	39	0.320	0.4	12.5
Nick Nash	San José State	2021	45	0.310	0.5	14.0
Cade Harris	Air Force	2024	45	0.330	0.5	14.8
Ainias Smith	Texas A&M	2020	55	0.310	0.5	17.0
Keytaon Thompson	Virginia	2021	41	0.370	0.6	15.2

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	vsStony Brook	W42-0	—	1	44	44.0	0	44	2.91
5	@Northern Illinois	W6-3	-16.7	2	15	7.5	0	8	0.28
6	vsColorado State	W45-24	-15.6	2	23	11.5	0	16	0.96
10	vsWyoming	W24-7	-11.3	1	7	7.0	0	7	0.15
11	@Hawai'i	L6-38	1.7	1	5	5.0	0	5	-0.52
12	vsBoise State	W17-7	3.1	3	22	7.3	0	23	-0.13
13	vsSan José State	W25-3	-14.3	2	13	6.5	0	9	0.53
14	@New Mexico	L17-23	0.9	—	—	—	—	—	—
20	vsNorth Texas	L47-49	13.8	—	—	—	—	—	—

Usage & Situational · Pro

Snap-share proxy

Overall

3.8%

Passing plays

10.3%

Rushing plays

0.6%

Standard downs

2.8%

Passing downs

6.0%

EPA by down type

Standard downs: 0.63
Passing downs: 0.03
Pass / Rush EPA: 0.42 / -0.48

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