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Dalvin Smith

#17Dalvin Smith

Dalvin Smith is a Versatile WR for Western Kentucky. Dalvin's 2024 season produced 34.1 total EPA across 38 plays.

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 Dalvin 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
30 Receptions397 Rec yards4 Rec TD13.2 Yards/rec

Performance Analysis · 2024 · vs WR peers

  • Efficiency100
  • Volume14
  • Explosiveness42
  • Consistency67
  • Pass-Down100
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 consistency67th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 9 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 — 0.24 EPA/play decline from first to second half.
  • Peak game: 2.89 EPA/play in Wk 7 vs UTEP (SP+ -23).

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
Quadree HendersonPittsburgh0.5301.633.4
DeAndre HughesAir Force0.4701.328.2
Keytaon ThompsonMississippi State0.4601.232.2
Bert Emanuel Jr.Central Michigan0.4601.624.4
Savion WilliamsTCU0.4501.125.2

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

Game Log · box score + EPA, week by week

+2.8902.89Wk 1 vs Alabama: -0.39 EPA/play1Wk 2 vs Eastern Kentucky: +0.85 EPA/play2Wk 3 vs Middle Tennessee: +1.54 EPA/play3Wk 4 vs Toledo: +0.64 EPA/play4Wk 5 vs Boston College: +0.63 EPA/play5Wk 7 vs UTEP: +2.89 EPA/play7Wk 8 vs Sam Houston: +0.81 EPA/play8Wk 10 vs Kennesaw State: +0.45 EPA/play10Wk 11 vs New Mexico State: +2.02 EPA/play11Wk 12 vs Louisiana Tech: -0.80 EPA/play12Wk 13 vs Liberty: +1.85 EPA/play13Wk 14 vs Jacksonville State: +0.40 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@AlabamaL0-6325.0242.002-0.39
2vsEastern KentuckyW31-04348.51120.85
3@Middle TennesseeW49-21-24.413737.00371.54
4vsToledoW26-21-2.52189.00110.64
5@Boston CollegeL20-211.233010.00170.63
7vsUTEPW44-17-22.723919.51302.89
8@Sam HoustonW31-14-6.93289.30100.81
10vsKennesaw StateW31-14-25.13258.30100.45
11@New Mexico StateW41-28-19.02147.0072.02
12vsLouisiana TechL7-12-11.611414.0014-0.80
13@LibertyL21-380.246315.81381.85
14vsJacksonville StateW19-17-1.011515.00150.40
20vsJames MadisonL17-277.527638.0165

Usage & Situational · Pro

Snap-share proxy
Overall
5.0%
Passing plays
9.1%
Rushing plays
0.3%
Standard downs
4.9%
Passing downs
5.1%
EPA by down type
Standard downs
0.75
Passing downs
1.27
Pass / Rush EPA
1.01 / -3.24

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.