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Reginald Virgil

Reginald Virgil

Reginald Virgil is a Versatile WR for Texas Tech. Reginald's 2025 season ranks in the 100th percentile nationally by opponent-adjusted EPA per play across 85 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 Reginald Virgil'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
57 Receptions705 Rec yards6 Rec TD12.4 Yards/rec

Performance Analysis · 2025 · vs WR peers

  • Efficiency100
  • Volume25
  • Explosiveness36
  • Consistency73
  • Pass-Down82
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.
  • 9 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.21 EPA/play in Wk 12 vs UCF (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
Keytaon ThompsonMississippi State0.4601.232.2
Savion WilliamsTCU0.4501.125.2
DeAndre HughesAir Force0.4701.328.2
Zach AbeyNavy0.3700.825.9
Dane KinamonAir Force0.4100.716.0

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

Game Log · box score + EPA, week by week

+1.2101.21Wk 1 vs Arkansas-Pine Bluff: +0.87 EPA/play1Wk 2 vs Kent State: +0.58 EPA/play2Wk 3 vs Oregon State: -0.29 EPA/play3Wk 4 vs Utah: +0.56 EPA/play4Wk 6 vs Houston: +0.63 EPA/play6Wk 7 vs Kansas: +0.43 EPA/play7Wk 8 vs Arizona State: +0.42 EPA/play8Wk 9 vs Oklahoma State: +0.80 EPA/play9Wk 10 vs Kansas State: +0.00 EPA/play10Wk 11 vs BYU: +0.03 EPA/play11Wk 12 vs UCF: +1.21 EPA/play12Wk 14 vs West Virginia: -0.02 EPA/play14Wk 15 vs BYU: +0.64 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
1vsArkansas-Pine BluffW67-745614.01210.87
2vsKent StateW62-14-19.355010.02350.58
3vsOregon StateW45-14-15.922914.5021-0.29
4@UtahW34-1022.267212.01210.56
6@HoustonW35-117.444511.30130.63
7vsKansasW42-174.123417.00210.43
8@Arizona StateL22-263.97507.11140.42
9vsOklahoma StateW42-0-15.122713.50240.80
10@Kansas StateW43-207.057214.40420.00
11vsBYUW29-715.935418.00390.03
12vsUCFW48-9-1.257214.41401.21
14@West VirginiaW49-0-6.822914.5025-0.02
15vsBYUW34-715.988610.80300.64
20vsOregonL0-2325.922914.5024

Usage & Situational · Pro

Snap-share proxy
Overall
8.7%
Passing plays
17.9%
Rushing plays
0.4%
Standard downs
7.8%
Passing downs
10.7%
EPA by down type
Standard downs
0.39
Passing downs
0.57
Pass / Rush EPA
0.42 / 2.35

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.