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Jeremiah Jones-Thomas
Jeremiah Jones-Thomas

#2Jeremiah Jones-Thomas

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

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.

PlayerTeamWEPA/playLine valTotal EPA
Tyler BuchnerNotre Dame0.2500.312.8
Brandon ChatmanNavy0.2300.612.0
Keytaon ThompsonVirginia0.3200.412.5
Samajie GrantArizona0.2500.315.5
Nick NashSan José State0.3100.514.0

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+0.5700.57Wk 4 vs Coastal Carolina: +0.57 EPA/play4Wk 12 vs UL Monroe: -0.06 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
4vsCoastal CarolinaL20-38-15.12147.00170.57
12@UL MonroeW26-14-21.6144.004-0.06

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).

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.