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Anthony Smith

#9Anthony Smith

Anthony Smith is a Versatile WR for East Carolina. Anthony's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 84 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 Anthony 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.

2025 Production

Receiving
64 Receptions1053 Rec yards7 Rec TD16.5 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume27
  • Explosiveness63
  • Consistency65
  • Pass-Down71
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 consistency65th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • Limited usage share suggests a rotational or specialist role.
  • 8 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.30 from the first to second half of the season.
  • Peak game: 2.06 EPA/play in Wk 5 vs Army (SP+ 1).

NIL Market Tier· 2025

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
Savion WilliamsTCU0.4501.125.2
Bert Emanuel Jr.Central Michigan0.4601.624.4

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

Game Log · box score + EPA, week by week

+2.0602.06Wk 1 vs NC State: +0.45 EPA/play1Wk 2 vs Campbell: +0.11 EPA/play2Wk 3 vs Coastal Carolina: +0.55 EPA/play3Wk 4 vs BYU: -0.38 EPA/play4Wk 5 vs Army: +2.06 EPA/play5Wk 7 vs Tulane: -0.24 EPA/play7Wk 8 vs Tulsa: +1.88 EPA/play8Wk 10 vs Temple: +1.71 EPA/play10Wk 11 vs Charlotte: +0.54 EPA/play11Wk 12 vs Memphis: +0.59 EPA/play12Wk 13 vs UTSA: +0.74 EPA/play13Wk 14 vs Florida Atlantic: +0.04 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@NC StateL17-244.866611.00180.45
2vsCampbellW56-36396.5090.11
3@Coastal CarolinaW38-0-15.11113612.40310.55
4vsBYUL13-3415.922412.0015-0.38
5vsArmyW28-60.838729.01412.06
7@TulaneL19-266.325427.0049-0.24
8vsTulsaW41-27-10.0415037.52661.88
10@TempleW45-14-5.125829.00351.71
11vsCharlotteW48-22-26.78698.61140.54
12vsMemphisW31-277.67628.90180.59
13@UTSAL24-583.7814317.91500.74
14@Florida AtlanticW42-3-8.7199.0090.04
20vsPittsburghW23-178.4415639.0272

Usage & Situational · Pro

Snap-share proxy
Overall
9.6%
Passing plays
21.1%
Rushing plays
0.4%
Standard downs
9.9%
Passing downs
8.8%
EPA by down type
Standard downs
0.68
Passing downs
0.81
Pass / Rush EPA
0.68 / 3.48

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.