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Lincoln Victor

#5Lincoln Victor

Lincoln Victor is a Versatile WR for Washington State. Lincoln's 2023 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 107 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 Lincoln Victor'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
89 Receptions860 Rec yards5 Rec TD9.7 Yards/rec
Returns
4 Kick returns80 KR yards0 KR TD

Performance Analysis · 2023 · vs WR peers

  • Efficiency100
  • Volume45
  • Explosiveness18
  • Consistency70
  • 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 consistency70th %ile · average
Key findings
  • Top-10% efficiency among WRs — elite opponent-adjusted EPA rate.
  • High game-to-game consistency — reliable floor each week.
  • 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 — 0.68 EPA/play decline from first to second half.
  • Peak game: 1.85 EPA/play in Wk 3 vs Northern Colorado.

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.

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
Keytaon ThompsonMississippi State0.4601.232.2
Zach AbeyNavy0.3700.825.9
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Kawaan BakerSouth Alabama0.4101.425.8

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

Game Log · box score + EPA, week by week

+1.8501.85Wk 1 vs Colorado State: +1.20 EPA/play1Wk 2 vs Wisconsin: +0.92 EPA/play2Wk 3 vs Northern Colorado: +1.85 EPA/play3Wk 7 vs Arizona: -0.09 EPA/play7Wk 8 vs Oregon: +0.37 EPA/play8Wk 9 vs Arizona State: +0.29 EPA/play9Wk 10 vs Stanford: +0.46 EPA/play10Wk 11 vs California: +0.01 EPA/play11Wk 12 vs Colorado: +0.57 EPA/play12Wk 13 vs Washington: +0.11 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1@Colorado StateW50-24-8.91116815.30501.20
2vsWisconsinW31-229.47557.91220.92
3vsNorthern ColoradoW64-21611919.82311.85
4vsOregon StateW38-3512.6
7vsArizonaL6-4414.14194.808-0.09
8@OregonL24-3826.21616110.10370.37
9@Arizona StateL27-38-11.39515.71190.29
10vsStanfordL7-10-11.912665.50100.46
11@CaliforniaL39-42-0.188410.50200.01
12vsColoradoW56-14-4.95499.80190.57
13@WashingtonL21-2416.411888.01280.11

Usage & Situational · Pro

Snap-share proxy
Overall
15.7%
Passing plays
24.1%
Rushing plays
1.2%
Standard downs
15.6%
Passing downs
15.8%
EPA by down type
Standard downs
0.24
Passing downs
0.91
Pass / Rush EPA
0.44 / 0.83

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.