#18Winn Sharp

WR·Bowling Green·2025

Winn Sharp is a Slot Specialist WR for Bowling Green.

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 Winn Sharp'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

5 Receptions46 Rec yards0 Rec TD9.2 Yards/rec

Performance Analysis · 2025 · vs WR peers

Efficiency17
Volume8
Explosiveness15
Consistency0
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)17th %ile · below avg

Game-to-game consistency0th %ile · below avg

Key findings

▸Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
▸Limited usage share suggests a rotational or specialist role.
▸High game-to-game variance — boom-or-bust profile.
▸Peak game: 0.40 EPA/play in Wk 13 vs Akron (SP+ -14).

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
Amare Jones	Tulane	2019	58	0.230	0.8	13.3
Tyler Buchner	Notre Dame	2021	51	0.250	0.3	12.8
Eli Heidenreich	Navy	2025	70	0.220	0.8	15.4

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	Long	EPA/play
5	@Ohio	L20-35	-4.0	1	6	6.0	6	0.36
10	vsBuffalo	L3-28	-7.5	1	6	6.0	6	-1.78
11	@Eastern Michigan	L21-27	-14.7	1	20	20.0	20	0.14
13	vsAkron	L16-19	-13.9	2	14	7.0	7	0.40

Usage & Situational · Pro

Snap-share proxy

Overall

2.7%

Passing plays

6.9%

Rushing plays

0.0%

Standard downs

2.3%

Passing downs

3.7%

EPA by down type

Standard downs: 0.45
Passing downs: -0.13
Pass / Rush EPA: 0.06 / —

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