#2Jeremiah Jones-Thomas

WR·South Alabama·2025

Jeremiah Jones-Thomas is a Versatile WR for South Alabama.

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 Jeremiah Jones-Thomas'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

3 Receptions18 Rec yards0 Rec TD6.0 Yards/rec

Air yards

Where the ball goes, and how much of the gain is the throw rather than the run after it.

Targets

5.4y

Avg depth

7.0y

After catch

70%

Catch rate

The ball travels 5.4 yards in the air on an average target — 3.5 yards shorter than the median. Another 7.0 comes after the catch.

Where he is targeted

targets · completion rate · yards

deep

—

short

67% · 16y

33% · 9y

100% · 46y

leftmiddleright

Depth and direction come from CFBD’s passing detail, which is backfilled after the games: this covers weeks 1–2 only. Spikes, throwaways and intentional grounding are excluded before any average.

Performance Analysis · 2025 · vs WR peers

Efficiency100
Volume5
Explosiveness0
Consistency50
Pass-Down0

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

Key findings

▸Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
▸Limited usage share suggests a rotational or specialist role.
▸Peak game: 0.57 EPA/play in Wk 4 vs Coastal Carolina (SP+ -15).

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
Tyler Buchner	Notre Dame	2021	51	0.250	0.3	12.8
Brandon Chatman	Navy	2025	52	0.230	0.6	12.0
Keytaon Thompson	Virginia	2020	39	0.320	0.4	12.5
Samajie Grant	Arizona	2016	62	0.250	0.3	15.5
Nick Nash	San José State	2021	45	0.310	0.5	14.0

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
4	vsCoastal Carolina	L20-38	-15.1	2	14	7.0	0	17	0.57
12	@UL Monroe	W26-14	-21.6	1	4	4.0	0	4	-0.06

Usage & Situational · Pro

Snap-share proxy

Overall

1.7%

Passing plays

4.0%

Rushing plays

0.0%

Standard downs

1.8%

Passing downs

1.4%

EPA by down type

Standard downs: 0.36
Passing downs: -0.15
Pass / Rush EPA: 0.23 / —

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