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Noah Smith

#6Noah Smith

Noah Smith is a Versatile WR for Sam Houston. Noah's 2024 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 51 plays — a elite rate for the WR.

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 Noah 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

Rushing
81 Rush yards0 Rush TD13 Carries6.2 Yards/carry
Receiving
40 Receptions313 Rec yards0 Rec TD7.8 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume21
  • Explosiveness6
  • Consistency58
  • Pass-Down91
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
Game-to-game consistency58th %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.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Production faded as the season progressed — 0.75 EPA/play decline from first to second half.
  • Peak game: 3.48 EPA/play in Wk 2 vs UCF (SP+ 3).

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
DeAndre HughesAir Force0.4701.328.2
Savion WilliamsTCU0.4501.125.2
Quadree HendersonPittsburgh0.5301.633.4
Keytaon ThompsonMississippi State0.4601.232.2
Javion PoseyFlorida Atlantic0.4501.423.8

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

Game Log · box score + EPA, week by week

+3.4803.48Wk 1 vs Rice: +0.17 EPA/play1Wk 2 vs UCF: +3.48 EPA/play2Wk 3 vs Hawai'i: -0.38 EPA/play3Wk 5 vs Texas State: +1.09 EPA/play5Wk 6 vs UTEP: +1.23 EPA/play6Wk 10 vs Louisiana Tech: +0.40 EPA/play10Wk 12 vs Kennesaw State: -0.17 EPA/play12Wk 13 vs Jacksonville State: +0.75 EPA/play13Wk 14 vs Liberty: +0.37 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@RiceW34-14-11.42115.5090.17
2@UCFL14-452.8155.0053.48
3vsHawai'iW31-13-10.9231.504-0.38
4vsNew Mexico StateW31-11-19.04389.5013
5vsTexas StateW40-395.42168.00111.09
6@UTEPW41-21-22.733712.30191.23
10vsLouisiana TechW9-3-11.66477.80220.40
12@Kennesaw StateW23-17-25.1273.506-0.17
13@Jacksonville StateL11-21-1.066510.80170.75
14vsLibertyW20-180.27568.00130.37
20vsGeorgia SouthernW31-26-1.75285.609

Usage & Situational · Pro

Snap-share proxy
Overall
7.5%
Passing plays
13.5%
Rushing plays
3.1%
Standard downs
6.9%
Passing downs
8.6%
EPA by down type
Standard downs
0.45
Passing downs
0.70
Pass / Rush EPA
0.64 / 0.22

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.