#3Bailey Stockton

WR·Georgia Tech·2025

Bailey Stockton is a Slot Specialist WR for Georgia Tech.

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 Bailey Stockton'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

21 Receptions233 Rec yards0 Rec TD11.1 Yards/rec

Returns

6 Punt returns58 PR yards0 PR TD

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume14
Explosiveness27
Consistency63
Pass-Down49

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 consistency63th %ile · average

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸5 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Production faded as the season progressed — 0.54 EPA/play decline from first to second half.
▸Peak game: 2.24 EPA/play in Wk 2 vs Gardner-Webb.

NIL Market Tier· 2025

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
Savion Williams	TCU	2024	56	0.450	1.1	25.2
Keytaon Thompson	Mississippi State	2017	70	0.460	1.2	32.2
Javion Posey	Florida Atlantic	2020	53	0.450	1.4	23.8

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	@Colorado	W27-20	-8.3	4	48	12.0	0	23	0.82
2	vsGardner-Webb	W59-12	—	2	43	21.5	0	24	2.24
3	vsClemson	W24-21	9.5	—	—	—	—	—	—
4	vsTemple	W45-24	-5.1	3	27	9.0	0	13	1.36
5	@Wake Forest	W30-29	5.7	1	2	2.0	0	2	-0.56
7	vsVirginia Tech	W35-20	-10.1	1	8	8.0	0	8	-0.02
8	@Duke	W27-18	6.6	2	16	8.0	0	9	-0.17
9	vsSyracuse	W41-16	-13.1	4	48	12.0	0	33	0.28
13	vsPittsburgh	L28-42	8.4	2	31	15.5	0	25	1.12
14	vsGeorgia	L9-16	24.1	2	10	5.0	0	6	0.95

Usage & Situational · Pro

Snap-share proxy

Overall

4.9%

Passing plays

10.6%

Rushing plays

0.3%

Standard downs

2.8%

Passing downs

11.6%

EPA by down type

Standard downs: 0.58
Passing downs: 0.57
Pass / Rush EPA: 0.60 / 0.07

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