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Jordan Smith

#12Jordan Smith

Jordan Smith is a Slot Specialist WR for New Mexico 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 Jordan Smith'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.

2024 Production

Receiving
8 Receptions110 Rec yards0 Rec TD13.8 Yards/rec
Returns
6 Punt returns8 PR yards0 PR TD

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume6
  • Explosiveness45
  • Consistency0
  • Pass-Down100
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 consistency0th %ile · below avg
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • 4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.42 EPA/play decline from first to second half.
  • Peak game: 2.41 EPA/play in Wk 3 vs Fresno State (SP+ -4).

NIL Market Tier· 2024

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.

PlayerTeamWEPA/playLine valTotal EPA
Dane KinamonAir Force0.4100.716.0
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Javion PoseyFlorida Atlantic0.4501.423.8
Quadree HendersonPittsburgh0.5301.633.4

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

Game Log · box score + EPA, week by week

+2.4102.41Wk 1 vs Southeast Missouri State: -1.21 EPA/play1Wk 3 vs Fresno State: +2.41 EPA/play3Wk 10 vs Florida International: +0.46 EPA/play10Wk 11 vs Western Kentucky: -1.96 EPA/play11Wk 12 vs Texas A&M: +0.75 EPA/play12Wk 14 vs UTEP: +1.49 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSoutheast Missouri StateW23-16-1.21
3@Fresno StateL0-48-3.823115.50212.41
4@Sam HoustonL11-31-6.9188.008
8vsLouisiana TechW33-30-11.6
10vsFlorida InternationalL13-34-12.1177.0070.46
11vsWestern KentuckyL28-41-2.2-1.96
12@Texas A&ML3-3817.012121.00210.75
14vsUTEPL35-42-22.734314.30171.49

Usage & Situational · Pro

Snap-share proxy
Overall
2.1%
Passing plays
3.8%
Rushing plays
0.8%
Standard downs
1.4%
Passing downs
3.3%
EPA by down type
Standard downs
-0.90
Passing downs
1.61
Pass / Rush EPA
1.38 / -1.58

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.