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MarShawn Lloyd

MarShawn Lloyd

RB·USC·2023

MarShawn Lloyd is a Explosive Back for USC. MarShawn's 2023 season ranks in the 95th percentile nationally by opponent-adjusted EPA per play across 124 plays — a elite 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 MarShawn Lloyd'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

Rushing
820 Rush yards9 Rush TD116 Carries7.1 Yards/carry
Receiving
13 Receptions232 Rec yards0 Rec TD17.8 Yards/rec

Performance Analysis · 2023 · vs RB peers

  • Efficiency95
  • Volume53
  • Explosiveness82
  • Consistency75
  • Receiving33
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)95th %ile · elite
Game-to-game consistency75th %ile · above avg
Key findings
  • Top-10% efficiency among RBs — 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 — 0.30 EPA/play decline from first to second half.
  • Peak game: 1.32 EPA/play in Wk 1 vs Nevada (SP+ -22).

NIL Market Tier· 2023

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 · 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
Travis EtienneClemson0.4704.7100.1
Clyde Edwards-HelaireLSU0.4905.0105.8
Saquon BarkleyPenn State0.3403.997.9
Saquon BarkleyPenn State0.4105.298.4

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

Game Log · box score + EPA, week by week

+1.3201.32Wk 1 vs Nevada: +1.32 EPA/play1Wk 2 vs Stanford: +0.41 EPA/play2Wk 4 vs Arizona State: +0.43 EPA/play4Wk 5 vs Colorado: +0.27 EPA/play5Wk 6 vs Arizona: +0.13 EPA/play6Wk 7 vs Notre Dame: +0.05 EPA/play7Wk 8 vs Utah: +0.35 EPA/play8Wk 9 vs California: +0.53 EPA/play9Wk 11 vs Oregon: +0.21 EPA/play11Wk 12 vs UCLA: +0.40 EPA/play12
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+CarRush YdsAvgRush TDRecRec YdsRec TDEPA/play
0vsSan José StateW56-28-3.49424.701120
1vsNevadaW66-14-22.077610.9125901.32
2vsStanfordW56-10-11.99778.610.41
4@Arizona StateW42-28-11.31415411.001-400.43
5@ColoradoW48-41-4.913846.5111200.27
6vsArizonaW43-4114.115865.710.13
7@Notre DameL20-4820.18465.811100.05
8vsUtahL32-348.578612.311500.35
9@CaliforniaW50-49-0.1171156.8237200.53
11@OregonL27-3626.29374.110.21
12vsUCLAL20-389.78172.1037500.40

Usage & Situational · Pro

Snap-share proxy
Overall
18.5%
Passing plays
3.4%
Rushing plays
39.7%
Standard downs
22.6%
Passing downs
9.0%
EPA by down type
Standard downs
0.34
Passing downs
0.73
Pass / Rush EPA
1.20 / 0.29

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.