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Corey Rucker

#7Corey Rucker

Corey Rucker is a Slot Specialist WR for Arkansas State. Corey's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 136 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 Corey Rucker'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
73 Receptions1029 Rec yards4 Rec TD14.1 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume40
  • Explosiveness47
  • Consistency71
  • Pass-Down33
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 consistency71th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 6 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Strong second-half surge — EPA/play improved 0.27 from the first to second half of the season.
  • Peak game: 1.05 EPA/play in Wk 10 vs Troy (SP+ -5).

NIL Market Tier· 2025

On3 valuation ↗
Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

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
Shai WertsGeorgia Southern0.3101.039.7
Zach AbeyNavy0.3700.825.9
Chris TyreeNotre Dame0.3100.623.6
Jafar ArmstrongNotre Dame0.3201.025.3
Eli HeidenreichNavy0.3400.722.4

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

Game Log · box score + EPA, week by week

+1.0501.05Wk 1 vs Southeast Missouri State: +0.76 EPA/play1Wk 2 vs Arkansas: -0.28 EPA/play2Wk 3 vs Iowa State: -0.06 EPA/play3Wk 4 vs Kennesaw State: +0.11 EPA/play4Wk 5 vs UL Monroe: +0.43 EPA/play5Wk 6 vs Texas State: +0.37 EPA/play6Wk 8 vs South Alabama: +0.51 EPA/play8Wk 9 vs Georgia Southern: +0.41 EPA/play9Wk 10 vs Troy: +1.05 EPA/play10Wk 11 vs Southern Miss: +0.56 EPA/play11Wk 13 vs Louisiana: +0.28 EPA/play13Wk 14 vs App State: +0.14 EPA/play14
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsSoutheast Missouri StateW42-2425929.51500.76
2vsArkansasL14-565.13206.7010-0.28
3vsIowa StateL16-249.912626.0026-0.06
4@Kennesaw StateL21-28-5.4242.0040.11
5@UL MonroeL16-28-21.6912013.30300.43
6vsTexas StateW31-302.3810212.80270.37
8@South AlabamaW15-14-12.78587.3090.51
9vsGeorgia SouthernW34-24-9.457715.40310.41
10@TroyW23-10-4.846416.00271.05
11vsSouthern MissL21-27-7.1712317.60550.56
13vsLouisianaL30-34-10.1812015.00280.28
14@App StateW30-29-11.410909.02340.14
20vsMissouri StateW34-28-10.7616627.7171

Usage & Situational · Pro

Snap-share proxy
Overall
14.1%
Passing plays
24.7%
Rushing plays
0.9%
Standard downs
11.6%
Passing downs
19.9%
EPA by down type
Standard downs
0.46
Passing downs
0.35
Pass / Rush EPA
0.43 / -0.12

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.