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Marcellous Hawkins
Marcellous Hawkins

#27Marcellous Hawkins

Marcellous Hawkins is a Explosive Back for Virginia Tech. Marcellous's 2025 season ranks in the 15th percentile nationally by opponent-adjusted EPA per play across 129 plays — a developing rate for the RB.

What projects, and what doesn't · RBs · 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)0.52
    Beats guessing the RB average by 18%. n=4,219 RB seasons
  • EPA per play (efficiency)0.10
    Not projectable — we do not forecast this. n=3,575 RB seasons
  • Total EPA (value)0.41
    Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Marcellous Hawkins'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

Rushing
749 Rush yards1 Rush TD118 Carries6.3 Yards/carry
Receiving
12 Receptions74 Rec yards1 Rec TD6.2 Yards/rec

Performance Analysis · 2025 · vs RB peers

  • Efficiency15
  • Volume52
  • Explosiveness66
  • Consistency40
  • Receiving47
Player type
Explosive Back

Elite per-carry efficiency — breaks big runs and creates chunk plays at a top rate while in a limited role.

Big-play threatHigh EPA per carryCapitalises on opportunities
Peer percentiles
Opponent-adjusted EPA (WEPA/play)15th %ile · below avg
Game-to-game consistency40th %ile · below avg
Key findings
  • Below-average efficiency vs RB peers — value comes through volume, not per-play impact.
  • 3 high-impact games (EPA/play > 0.4) this season — elite ceiling.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Peak game: 1.48 EPA/play in Wk 5 vs NC State (SP+ 5).

NIL Market Tier· 2025

On3 valuation ↗
Starter

Meaningful starter. Local collective + position-group 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 · RB · 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
Saquon BarkleyPenn State0.3403.997.9

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

Game Log · box score + EPA, week by week

+1.4801.48Wk 1 vs South Carolina: +0.05 EPA/play1Wk 2 vs Vanderbilt: +0.02 EPA/play2Wk 3 vs Old Dominion: -0.24 EPA/play3Wk 4 vs Wofford: -0.11 EPA/play4Wk 5 vs NC State: +1.48 EPA/play5Wk 6 vs Wake Forest: +0.06 EPA/play6Wk 7 vs Georgia Tech: +0.48 EPA/play7Wk 9 vs California: +0.44 EPA/play9Wk 10 vs Louisville: -0.02 EPA/play10Wk 12 vs Florida State: +0.15 EPA/play12Wk 13 vs Miami: +0.13 EPA/play13
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
1vsSouth CarolinaL11-245.915583.900.05
2vsVanderbiltL20-4420.38293.6021000.02
3vsOld DominionL26-455.94215.304120-0.24
4vsWoffordW38-613796.102270-0.11
5@NC StateW23-214.844711.8011111.48
6vsWake ForestL23-305.711484.410.06
7@Georgia TechL20-359.39829.100.48
9vsCaliforniaW42-34-3.2211678.000.44
10vsLouisvilleL16-2812.413453.501120-0.02
12@Florida StateL14-347.2121018.401-500.15
13vsMiamiL17-3420.78729.001700.13

Usage & Situational · Pro

Snap-share proxy
Overall
18.3%
Passing plays
4.7%
Rushing plays
30.0%
Standard downs
22.4%
Passing downs
9.8%
EPA by down type
Standard downs
0.07
Passing downs
0.71
Pass / Rush EPA
0.06 / 0.19

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.