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Anthony Gould
Anthony Gould

#2Anthony Gould

WR·Oregon State·2023

Anthony Gould is a Versatile WR for Oregon State. Anthony's 2023 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 50 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 Gould'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.

2023 Production

Receiving
44 Receptions718 Rec yards2 Rec TD16.3 Yards/rec
Returns
6 Punt returns105 PR yards0 PR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume21
  • Explosiveness62
  • Consistency73
  • 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 consistency73th %ile · average
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 consistency — reliable floor each week.
  • ▸10 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 0.27 from the first to second half of the season.
  • ▸Peak game: 4.51 EPA/play in Wk 11 vs Stanford (SP+ -12).

NIL Market Tier· 2023

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.

Game Log · box score + EPA, week by week

+4.510−4.51Wk 1 vs San José State: +2.29 EPA/play1Wk 3 vs San Diego State: +1.91 EPA/play3Wk 4 vs Washington State: +0.42 EPA/play4Wk 5 vs Utah: +0.51 EPA/play5Wk 6 vs California: +0.72 EPA/play6Wk 7 vs UCLA: +1.31 EPA/play7Wk 9 vs Arizona: +0.66 EPA/play9Wk 10 vs Colorado: +0.92 EPA/play10Wk 11 vs Stanford: +4.51 EPA/play11Wk 12 vs Washington: +0.16 EPA/play12Wk 13 vs Oregon: +0.96 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@San José StateW42-17-3.435919.71282.29
3vsSan Diego StateW26-9-10.339732.31751.91
4@Washington StateL35-384.946115.30330.42
5vsUtahW21-78.53227.30160.51
6@CaliforniaW52-40-0.1711716.70310.72
7vsUCLAW36-249.778712.40191.31
9@ArizonaL24-2714.125829.00520.66
10@ColoradoW26-19-4.933712.30150.92
11vsStanfordW62-17-11.916161.00614.51
12vsWashingtonL20-2216.45346.80140.16
13@OregonL7-3126.268514.20250.96

Usage & Situational · Pro

Snap-share proxy
Overall
7.4%
Passing plays
14.1%
Rushing plays
1.6%
Standard downs
6.6%
Passing downs
9.3%
EPA by down type
Standard downs
0.63
Passing downs
1.51
Pass / Rush EPA
1.14 / -0.15

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.